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2020 – today
- 2024
- [j74]Gourav Siddhad, Anmol Gupta, Debi Prosad Dogra, Partha Pratim Roy:
Efficacy of transformer networks for classification of EEG data. Biomed. Signal Process. Control. 87(Part B): 105488 (2024) - [j73]Ajaya Kumar Dash, Santosh Kumar Behera, Debi Prosad Dogra:
PlutoAR: a scalable marker-based augmented reality application for interactive and inclusive education. Multim. Tools Appl. 83(19): 57685-57708 (2024) - [j72]Ajaya Kumar Dash, Koniki Venkata Balaji, Debi Prosad Dogra, Byung-Gyu Kim:
Interactions with 3D virtual objects in augmented reality using natural gestures. Vis. Comput. 40(9): 6449-6462 (2024) - [c34]Lalit Lohani, Kamalakar Vijay Thakare, Kamakshya Prasad Nayak, Debi Prosad Dogra, Heeseung Choi, Hyungjoo Jung, Ig-Jae Kim:
Pedestrian Attribute Recognition Using Hierarchical Transformers. ICPR (16) 2024: 78-93 - [c33]Akshat Rampuria, Kushagra Khare, Ayush Soni, Debi Prosad Dogra:
Extracting Vitals from ICU Monitor Images: An Insight from Analysis of 10K Patient Data. ICPR (12) 2024: 455-471 - [c32]Harsh Singh Jadon, Jagdish Deshmukh, Kamakshya Prasad Nayak, Kamalakar Vijay Thakare, Debi Prosad Dogra:
Unsupervised Annotation and Detection of Novel Objects Using Known Objectness. VISIGRAPP (2): VISAPP 2024: 694-701 - [c31]Kamalakar Vijay Thakare, Debi Prosad Dogra, Heeseung Choi, Haksub Kim, Ig-Jae Kim:
Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach. WACV 2024: 697-706 - 2023
- [j71]Kamalakar Vijay Thakare, Debi Prosad Dogra, Heeseung Choi, Haksub Kim, Ig-Jae Kim:
RareAnom: A Benchmark Video Dataset for Rare Type Anomalies. Pattern Recognit. 140: 109567 (2023) - [j70]Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Crowd Characterization in Surveillance Videos Using Deep-Graph Convolutional Neural Network. IEEE Trans. Cybern. 53(6): 3428-3439 (2023) - [j69]Thakare Kamalakar Vijay, Debi Prosad Dogra, Heeseung Choi, Gi Pyo Nam, Ig-Jae Kim:
Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos. IEEE Trans. Intell. Transp. Syst. 24(2): 1926-1935 (2023) - [c30]Kamalakar Vijay Thakare, Yash Raghuwanshi, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim:
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network. WACV 2023: 5530-5539 - [i19]Taveena Lotey, Prateek Keserwani, Debi Prosad Dogra, Partha Pratim Roy:
Feature Reweighting for EEG-based Motor Imagery Classification. CoRR abs/2308.02515 (2023) - [i18]Sudhanshu Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim:
A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications. CoRR abs/2311.11250 (2023) - 2022
- [j68]Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
Topic-based Video Analysis: A Survey. ACM Comput. Surv. 54(6): 118:1-118:34 (2022) - [j67]Kamalakar Vijay Thakare, Nitin Sharma, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim:
A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection. Expert Syst. Appl. 201: 117030 (2022) - [j66]Komal Soni, Debi Prosad Dogra, Arif Ahmed Sekh, Samarjit Kar, Heeseung Choi, Ig-Jae Kim:
Person re-identification in indoor videos by information fusion using Graph Convolutional Networks. Expert Syst. Appl. 210: 118363 (2022) - [j65]Tushar Rangari, Sudhanshu Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim:
Video based exercise recognition and correct pose detection. Multim. Tools Appl. 81(21): 30267-30282 (2022) - [j64]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Adway Mitra:
Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture. IEEE Trans. Intell. Transp. Syst. 23(8): 11891-11902 (2022) - [j63]Kamalakar Vijay Thakare, Debi Prosad Dogra, Heeseung Choi, Haksub Kim, Ig-Jae Kim:
Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning. IEEE Trans. Intell. Transp. Syst. 23(11): 20601-20613 (2022) - [j62]Shreetam Behera, Debi Prosad Dogra, Manoranjan Satpathy:
Effect of Migrant Labourer Inflow on the Early Spread of Covid-19 in Odisha: A Case Study. ACM Trans. Spatial Algorithms Syst. 8(4): 27:1-27:18 (2022) - [c29]Himanshu Choudhary, Debi Prosad Dogra, Arif Ahmed Sekh:
Solving Diagrammatic Reasoning Problems Using Deep Learning. CVIP (2) 2022: 377-387 - [c28]Malviya Dutta Richa, Sk. Arif Ahmed, Debi Prosad Dogra, Pranab K. Dan:
Patch Level Segmentation and Visualization of Capsule Network Inference for Breast Metastases Detection. SPCOM 2022: 1-5 - [i17]Gourav Siddhad, Anmol Gupta, Debi Prosad Dogra, Partha Pratim Roy:
Efficacy of Transformer Networks for Classification of Raw EEG Data. CoRR abs/2202.05170 (2022) - [i16]Thakare Kamalakar Vijay, Yash Raghuwanshi, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim:
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network. CoRR abs/2211.00882 (2022) - 2021
- [j61]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy:
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey. ACM Comput. Surv. 53(6): 119:1-119:26 (2021) - [j60]Debashis Das Chakladar, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra, Erik J. Scheme, Victor Chang:
A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG. Inf. Fusion 71: 17-27 (2021) - [j59]Gautam Kumar, Prateek Keserwani, Partha Pratim Roy, Debi Prosad Dogra:
Logo detection using weakly supervised saliency map. Multim. Tools Appl. 80(3): 4341-4365 (2021) - [j58]Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Understanding crowd flow patterns using active-Langevin model. Pattern Recognit. 119: 108037 (2021) - [j57]Sk Maidul Islam, Subhankar Joardar, Debi Prosad Dogra, Arif Ahmed Sekh:
Ornament Image Retrieval Using Multimodal Fusion. SN Comput. Sci. 2(4): 336 (2021) - [j56]Vaishali Khurana, Monika Gahalawat, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra, Erik J. Scheme, Mohammad Soleymani:
A Survey on Neuromarketing Using EEG Signals. IEEE Trans. Cogn. Dev. Syst. 13(4): 732-749 (2021) - [j55]Santosh Kumar Behera, Pradeep Kumar, Debi Prosad Dogra, Partha Pratim Roy:
A Robust Biometric Authentication System for Handheld Electronic Devices by Intelligently Combining 3D Finger Motions and Cerebral Responses. IEEE Trans. Consumer Electron. 67(1): 58-67 (2021) - [j54]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Bidyut Baran Chaudhuri:
Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model. IEEE Trans. Cybern. 51(8): 4148-4161 (2021) - [c27]Shreetam Behera, Thakare Kamalakar Vijay, H. Manish Kausik, Debi Prosad Dogra:
PIDLNet: A Physics-Induced Deep Learning Network for Characterization of Crowd Videos. AVSS 2021: 1-8 - 2020
- [j53]Debashis Das Chakladar, Shubhashis Dey, Partha Pratim Roy, Debi Prosad Dogra:
EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm. Biomed. Signal Process. Control. 60: 101989 (2020) - [j52]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification. Cogn. Syst. Res. 63: 30-41 (2020) - [j51]Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Estimation of linear motion in dense crowd videos using Langevin model. Expert Syst. Appl. 150: 113333 (2020) - [j50]Arif Ahmed, Debi Prosad Dogra, Heeseung Choi, Seungho Chae, Ig-Jae Kim:
Person Re-identification in Videos by Analyzing Spatio-temporal Tubes. Multim. Tools Appl. 79(33-34): 24537-24551 (2020) - [j49]Srishti Gupta, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim:
Retrieval of colour and texture images using local directional peak valley binary pattern. Pattern Anal. Appl. 23(4): 1569-1585 (2020) - [j48]Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
Can we automate diagrammatic reasoning? Pattern Recognit. 106: 107412 (2020) - [j47]Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Video trajectory analysis using unsupervised clustering and multi-criteria ranking. Soft Comput. 24(21): 16643-16654 (2020) - [j46]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Renuka Patnaik, Seung-Cheol Lee, Heeseung Choi, Gi Pyo Nam, Ig-Jae Kim:
Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications. IEEE Trans. Intell. Transp. Syst. 21(8): 3457-3468 (2020) - [c26]Shreetam Behera, Shaily Preetham Kurra, Debi Prosad Dogra:
Characterization of Orderly Behavior of Human Crowd in Videos Using Deep Learning. IFIP TC12 ICIS 2020: 217-226 - [c25]Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Segmentation and Visualization of Crowd Flows in Videos using Hybrid Force Model. VISIGRAPP (4: VISAPP) 2020: 861-867 - [i15]Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Understanding Crowd Flow Movements Using Active-Langevin Model. CoRR abs/2003.05626 (2020)
2010 – 2019
- 2019
- [j45]Abhik Singla, Partha Pratim Roy, Debi Prosad Dogra:
Visual rendering of shapes on 2D display devices guided by hand gestures. Displays 57: 18-33 (2019) - [j44]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy:
Queuing theory guided intelligent traffic scheduling through video analysis using Dirichlet process mixture model. Expert Syst. Appl. 118: 169-181 (2019) - [j43]Santhosh Kelathodi Kumaran, Shrohan Mohapatra, Debi Prosad Dogra, Partha Pratim Roy, Byung-Gyu Kim:
Computer vision-guided intelligent traffic signaling for isolated intersections. Expert Syst. Appl. 134: 267-278 (2019) - [j42]Sohom Mukherjee, Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Fingertip detection and tracking for recognition of air-writing in videos. Expert Syst. Appl. 136: 217-229 (2019) - [j41]Rajkumar Saini, Pradeep Kumar, Barjinder Kaur, Partha Pratim Roy, Debi Prosad Dogra, KC Santosh:
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare. Int. J. Mach. Learn. Cybern. 10(9): 2529-2540 (2019) - [j40]Santhosh Kelathodi Kumaran, Adyasha Chakravarty, Debi Prosad Dogra, Partha Pratim Roy:
Likelihood learning in modified Dirichlet Process Mixture Model for video analysis. Pattern Recognit. Lett. 128: 211-219 (2019) - [j39]Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar:
Recognizing gender from human facial regions using genetic algorithm. Soft Comput. 23(17): 8085-8100 (2019) - [j38]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Trajectory-Based Surveillance Analysis: A Survey. IEEE Trans. Circuits Syst. Video Technol. 29(7): 1985-1997 (2019) - [j37]Pradeep Kumar, Subham Mukherjee, Rajkumar Saini, Pallavi Kaushik, Partha Pratim Roy, Debi Prosad Dogra:
Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm. IEEE Trans. Fuzzy Syst. 27(5): 956-965 (2019) - [j36]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy:
Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos. IEEE Trans. Intell. Transp. Syst. 20(5): 1762-1773 (2019) - [j35]Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A novel point-line duality feature for trajectory classification. Vis. Comput. 35(3): 415-427 (2019) - [c24]Abhishek A. Patwardhan, Santanu Das, Sakshi Varshney, Maunendra Sankar Desarkar, Debi Prosad Dogra:
ViTag: Automatic Video Tagging Using Segmentation and Conceptual Inference. BigMM 2019: 271-276 - [c23]Suraj Tripathy, Rohan Sahoo, Ajaya Kumar Dash, Debi Prosad Dogra:
Natural Gestures to Interact with 3D Virtual Objects using Deep Learning Framework. TENCON 2019: 1363-1368 - [i14]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy:
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey. CoRR abs/1901.08292 (2019) - [i13]Sk. Arif Ahmed, Debi Prosad Dogra, Heeseung Choi, Seungho Chae, Ig-Jae Kim:
Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes. CoRR abs/1902.04856 (2019) - [i12]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
Can We Automate Diagrammatic Reasoning? CoRR abs/1902.04955 (2019) - [i11]Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay, Partha Pratim Roy:
Estimation of Linear Motion in Dense Crowd Videos using Langevin Model. CoRR abs/1904.07233 (2019) - 2018
- [j34]Ashish Singhal, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim:
Summarization of videos by analyzing affective state of the user through crowdsource. Cogn. Syst. Res. 52: 917-930 (2018) - [j33]Ji-Hae Kim, Gwang-Soo Hong, Byung-Gyu Kim, Debi Prosad Dogra:
deepGesture: Deep learning-based gesture recognition scheme using motion sensors. Displays 55: 38-45 (2018) - [j32]Ajaya Kumar Dash, Santosh Kumar Behera, Debi Prosad Dogra, Partha Pratim Roy:
Designing of marker-based augmented reality learning environment for kids using convolutional neural network architecture. Displays 55: 46-54 (2018) - [j31]Pradeep Kumar, Ashish Singhal, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A pervasive electroencephalography-based person authentication system for cloud environment. Displays 55: 64-70 (2018) - [j30]Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A segmental HMM based trajectory classification using genetic algorithm. Expert Syst. Appl. 93: 169-181 (2018) - [j29]Santosh Kumar Behera, Debi Prosad Dogra, Partha Pratim Roy:
Fast recognition and verification of 3D air signatures using convex hulls. Expert Syst. Appl. 100: 106-119 (2018) - [j28]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Surveillance scene representation and trajectory abnormality detection using aggregation of multiple concepts. Expert Syst. Appl. 101: 43-55 (2018) - [j27]Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra:
A novel framework of continuous human-activity recognition using Kinect. Neurocomputing 311: 99-111 (2018) - [j26]Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra:
Independent Bayesian classifier combination based sign language recognition using facial expression. Inf. Sci. 428: 30-48 (2018) - [j25]Gwang-Soo Hong, Byung-Gyu Kim, Debi Prosad Dogra, Partha Pratim Roy:
A Survey of Real-time Road Detection Techniques Using Visual Color Sensor. J. Multim. Inf. Syst. 5(1): 9-14 (2018) - [j24]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A position and rotation invariant framework for sign language recognition (SLR) using Kinect. Multim. Tools Appl. 77(7): 8823-8846 (2018) - [j23]Santosh Kumar Behera, Debi Prosad Dogra, Partha Pratim Roy:
Analysis of 3D signatures recorded using leap motion sensor. Multim. Tools Appl. 77(11): 14029-14054 (2018) - [j22]Manaswi Chebiyyam, Rohit Desam Reddy, Debi Prosad Dogra, Harish Bhaskar, Lyudmila Mihaylova:
Motion anomaly detection and trajectory analysis in visual surveillance. Multim. Tools Appl. 77(13): 16223-16248 (2018) - [j21]Abdul Fatir Ansari, Partha Pratim Roy, Debi Prosad Dogra:
Exercise classification and event segmentation in Hammersmith Infant Neurological Examination videos. Mach. Vis. Appl. 29(2): 233-245 (2018) - [j20]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Pawan Kumar Sahu, Debi Prosad Dogra:
Envisioned speech recognition using EEG sensors. Pers. Ubiquitous Comput. 22(1): 185-199 (2018) - [j19]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Unsupervised classification of erroneous video object trajectories. Soft Comput. 22(14): 4703-4721 (2018) - [j18]Santosh Kumar Behera, Suman Bhoi, Debi Prosad Dogra, Partha Pratim Roy:
Robustness Analysis of Motion Sensor Guided Air Authentication System. IEEE Trans. Consumer Electron. 64(2): 171-179 (2018) - [c22]Santosh Kumar Behera, Ajaya Kumar Dash, Debi Prosad Dogra, Partha Pratim Roy:
Air Signature Recognition Using Deep Convolutional Neural Network-Based Sequential Model. ICPR 2018: 3525-3530 - [i10]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy:
Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model. CoRR abs/1803.06480 (2018) - [i9]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Bidyut Baran Chaudhuri:
Dynamic Trajectory Model for Analysis of Traffic States using DPMM. CoRR abs/1803.06613 (2018) - [i8]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy:
Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos. CoRR abs/1804.06680 (2018) - [i7]Shourya Pratap Singh, Ankit Kumar Panda, Susobhit Panigrahi, Ajaya Kumar Dash, Debi Prosad Dogra:
PlutoAR: An Inexpensive, Interactive And Portable Augmented Reality Based Interpreter For K-10 Curriculum. CoRR abs/1809.00375 (2018) - [i6]Sohom Mukherjee, Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Fingertip Detection and Tracking for Recognition of Air-Writing in Videos. CoRR abs/1809.03016 (2018) - [i5]Abhik Singla, Partha Pratim Roy, Debi Prosad Dogra:
Visual Rendering of Shapes on 2D Display Devices Guided by Hand Gestures. CoRR abs/1810.10581 (2018) - [i4]Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy, Adway Mitra:
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE. CoRR abs/1812.07203 (2018) - 2017
- [j17]Pradeep Kumar, Himaanshu Gauba, Partha Pratim Roy, Debi Prosad Dogra:
A multimodal framework for sensor based sign language recognition. Neurocomputing 259: 21-38 (2017) - [j16]Subham Mukherjee, Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim:
Fight Detection in Hockey Videos using Deep Network. J. Multim. Inf. Syst. 4(4): 225-232 (2017) - [j15]Subham Mukherjee, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim:
Plant Disease Identification using Deep Neural Networks. J. Multim. Inf. Syst. 4(4): 233-238 (2017) - [j14]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A bio-signal based framework to secure mobile devices. J. Netw. Comput. Appl. 89: 62-71 (2017) - [j13]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Byung-Gyu Kim, Paul R. Hill, Harish Bhaskar:
Localization of region of interest in surveillance scene. Multim. Tools Appl. 76(11): 13651-13680 (2017) - [j12]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
3D text segmentation and recognition using leap motion. Multim. Tools Appl. 76(15): 16491-16510 (2017) - [j11]Mahendra Yadava, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
Analysis of EEG signals and its application to neuromarketing. Multim. Tools Appl. 76(18): 19087-19111 (2017) - [j10]Himaanshu Gauba, Pradeep Kumar, Partha Pratim Roy, Priyanka Singh, Debi Prosad Dogra, Balasubramanian Raman:
Prediction of advertisement preference by fusing EEG response and sentiment analysis. Neural Networks 92: 77-88 (2017) - [j9]Pradeep Kumar, Himaanshu Gauba, Partha Pratim Roy, Debi Prosad Dogra:
Coupled HMM-based multi-sensor data fusion for sign language recognition. Pattern Recognit. Lett. 86: 1-8 (2017) - [j8]Nihal Paul, Ashish Singh, Abhishek Midya, Partha Pratim Roy, Debi Prosad Dogra:
Moving object detection using modified temporal differencing and local fuzzy thresholding. J. Supercomput. 73(3): 1120-1139 (2017) - [c21]Pradeep Kumar, Rajkumar Saini, Chaitanya Sai Tumma, Partha Pratim Roy, Debi Prosad Dogra:
Gait Analysis Using Shadow Motion. ACPR 2017: 453-458 - [c20]Shreetam Behera, Debi Prosad Dogra, Partha Pratim Roy:
Characterization of Dense Crowd Using Gibbs Entropy. CVIP (2) 2017: 289-300 - [c19]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Extraction of Long-Duration Moving Object Trajectories from Curtailed Tracks. CVIP (2) 2017: 315-326 - [c18]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy:
Natural Language Description of Surveillance Events. ICITAM 2017: 141-151 - [c17]Arif Ahmed, Samarjit Kar, Debi Prosad Dogra, Renuka Patnaik, S. Lee, Heeseung Choi, I. Kim:
Video synopsis generation using spatio-temporal groups. ICSIPA 2017: 512-517 - [c16]Pradeep Kumar, Rajkumar Saini, Santosh Kumar Behera, Debi Prosad Dogra, Partha Pratim Roy:
Real-time recognition of sign language gestures and air-writing using leap motion. MVA 2017: 157-160 - [c15]Santosh Kumar Behera, Pradeep Kumar, Debi Prosad Dogra, Partha Pratim Roy:
Fast signature spotting in continuous air writing. MVA 2017: 314-317 - [i3]Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Renuka Patnaik, S. Lee, Heeseung Choi, I. Kim:
Video Synopsis Generation Using Spatio-Temporal Groups. CoRR abs/1709.05311 (2017) - [i2]Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar:
Recognizing Gender from Human Facial Regions using Genetic Algorithm. CoRR abs/1712.01661 (2017) - 2016
- [j7]Debi Prosad Dogra, Arif Ahmed, Harish Bhaskar:
Smart video summarization using mealy machine-based trajectory modelling for surveillance applications. Multim. Tools Appl. 75(11): 6373-6401 (2016) - [j6]K. M. Vamsikrishna, Debi Prosad Dogra, Maunendra Sankar Desarkar:
Computer-Vision-Assisted Palm Rehabilitation With Supervised Learning. IEEE Trans. Biomed. Eng. 63(5): 991-1001 (2016) - [c14]Rajkumar Saini, Arif Ahmed, Debi Prosad Dogra, Partha Pratim Roy:
Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised Learning. CVIP (1) 2016: 261-271 - [c13]Rajkumar Saini, Arif Ahmed, Debi Prosad Dogra, Partha Pratim Roy:
Classification of Object Trajectories Represented by High-Level Features Using Unsupervised Learning. CVIP (1) 2016: 273-284 - [c12]Abdul Fatir Ansari, Partha Pratim Roy, Debi Prosad Dogra:
Posture Recognition in HINE Exercises. CVIP (2) 2016: 321-330 - [c11]Suman Bhoi, Debi Prosad Dogra, Partha Pratim Roy:
On-line Gesture Based User Authentication System Robust to Shoulder Surfing. CVIP (2) 2016: 557-566 - [c10]Prasenjit Dey, Debi Prosad Dogra, Partha Pratim Roy, Harish Bhaskar:
Autonomous vision-guided approach for the analysis and grading of vertical suspension tests during Hammersmith Infant Neurological Examination (HINE). EMBC 2016: 863-866 - [c9]K. M. Vamsikrishna, Debi Prosad Dogra, Harish Bhaskar:
Classification of head movement patterns to aid patients undergoing home-based cervical spine rehabilitation. ICASSP 2016: 849-853 - 2015
- [j5]Harish Bhaskar, Kartik Dwivedi, Debi Prosad Dogra, Mohammed E. Al-Mualla, Lyudmila Mihaylova:
Autonomous detection and tracking under illumination changes, occlusions and moving camera. Signal Process. 117: 343-354 (2015) - [c8]Chelsi Agarwal, Debi Prosad Dogra, Rajkumar Saini, Partha Pratim Roy:
Segmentation and recognition of text written in 3D using Leap motion interface. ACPR 2015: 539-543 - [c7]Arindam Sikdar, Santosh Kumar Behera, Debi Prosad Dogra, Harish Bhaskar:
Contactless vision-based pulse rate detection of Infants Under Neurological Examinations. EMBC 2015: 650-653 - [c6]Suman Bhoi, Debi Prosad Dogra, Partha Pratim Roy:
Handwritten text recognition in Odia script using Hidden Markov Model. NCVPRIPG 2015: 1-3 - [c5]Debi Prosad Dogra, Rohit Desam Reddy, K. S. Subramanyam, Arif Ahmed, Harish Bhaskar:
Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph. VISAPP (2) 2015: 104-112 - [c4]Debi Prosad Dogra, Arif Ahmed, Harish Bhaskar:
Interest Area Localization using Trajectory Analysis in Surveillance Scenes. VISAPP (2) 2015: 478-485 - 2014
- [j4]Debi Prosad Dogra, Vishal Badri, Arun K. Majumdar, Shamik Sural, Jayanta Mukherjee, Suchandra Mukherjee, Arun Kumar Singh:
Video analysis of Hammersmith lateral tilting examination using Kalman filter guided multi-path tracking. Medical Biol. Eng. Comput. 52(9): 759-772 (2014) - [i1]Debi Prosad Dogra, Karthik Nandam, Arun K. Majumdar, Shamik Sural, Jayanta Mukhopadhyay, Bandana Majumdar, Arun Kumar Singh, Suchandra Mukherjee:
User Friendly Implementation for Efficiently Conducting Hammersmith Infant Neurological Examination. CoRR abs/1402.0698 (2014) - 2012
- [j3]Debi Prosad Dogra, Arun K. Majumdar, Shamik Sural, Jayanta Mukherjee, Suchandra Mukherjee, A. Singh:
Analysis of adductors angle measurement in Hammersmith infant neurological examinations using mean shift segmentation and feature point based object tracking. Comput. Biol. Medicine 42(9): 925-934 (2012) - [j2]Debi Prosad Dogra, Arun K. Majumdar, Shamik Sural:
Evaluation of segmentation techniques using region area and boundary matching information. J. Vis. Commun. Image Represent. 23(1): 150-160 (2012) - 2011
- [j1]Debi Prosad Dogra, Karthik Nandam, Arun K. Majumdar, Shamik Sural, Jayanta Mukhopadhyay, Bandana Majumdar, Arun Kumar Singh, Suchandra Mukherjee:
A Tool for Automatic Hammersmith Infant Neurological Examination. Int. J. E Health Medical Commun. 2(2): 1-13 (2011) - [c3]Debi Prosad Dogra, Arun K. Majumdar, Shamik Sural, Jayanta Mukherjee, Suchandra Mukherjee, Arun Kumar Singh:
Automatic Adductors Angle Measurement for Neurological Assessment of Post-neonatal Infants during Follow Up. PReMI 2011: 160-166 - [c2]Soumendranath Ray, Debi Prosad Dogra, S. Bhattacharya, Bhaskar Saha, Arunava Biswas, Arun K. Majumdar, Jayanta Mukherjee, Bandana Majumdar, Arun Kumar Singh, A. Paria, Suchandra Mukherjee, S. Das Bhattacharya:
A Web Enabled Health Information System for the Neonatal Intensive Care Unit (NICU). SERVICES 2011: 451-458
2000 – 2009
- 2009
- [c1]Debi Prosad Dogra, Arun K. Majumdar, Shamik Sural:
Evaluation of Segmentation Techniques Using Region Size and Boundary Information. PReMI 2009: 285-290
Coauthor Index
aka: Kamalakar Vijay Thakare
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