1S.M. Islam, S. Joardar, D. P. Dogra, A. Ahmed. Ornament Image Retrieval Using Multimodal Fusion. SN Computer Science, 2(336), 2021, DOI:10.1007/s42979-021-00734-1.
2Shreetam behere, Debi Prosad Dogra, Manoranjan Satpathy. Effect of migrant labourer inflow on the early spread of Covid-19 in Odisha: A case study, ACM Transactions on Spatial Algorithms and Systems, 2022 (Accepted).
3Thakare Kamalakar Vijay, Debi Prosad Dogra, Heeseung Choi, Haksub Kim, Ig-Jae Kim. Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning, IEEE Transactions on Intelligent Transportation Systems, DOI: 10.1109/TITS.2022.3170648, 2022.
4Thakare Kamalakar Vijay, Nitin Kumar, Debi Prosad Dogra, Heeseung Choi, Ig-Jae Kim. A Multi-Stream Deep Neural Network with Late Fuzzy Fusion for Real-World Anomaly Detection, Expert Systems With Applications, 201:117030, 2022.
5Sudhanshu Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim, Video Based Exercise Recognition and Correct Pose Detection, Multimedia Tools and Applications, DOI:10.1007/s11042-022-12299-z, 2022.
6Shreetam Behera, Debi Prosad Dogra , Malay Bandyopadhyay, Partha Pratim Roy. Crowd Characterization in Surveillance Videos using Deep Graph Convolutional Neural Network, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2021.3126434, 2021.
7K. K. Santhosh, D. P. Dogra, P. P. Roy, A. Mitra. Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture, IEEE Transactions on Intelligent Transportation Systems , DOI: 10.1109/TITS.2021.3108504, 2021.
8Shreetam Behera, Debi Prosad Dogra, Malay Bandyopadhyay, Partha Pratim Roy, Understanding Crowd Flow Patterns Using Active-Langevin Model, Pattern Recognition, Vol 119, No. 108037, pp. 1-12, 2021.
9R. Pal, A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy, D. K. Prasad. Topic-based Video Analysis: A Survey, ACM Computing Surveys, 54(6):1-34, 2021.
10V. Khurana, M. Gahalawat, P. Kumar, P. P. Roy, D. P. Dogra, E. Scheme, Md. Soleymani. A Survey on Neuromarketing using EEG Signals. IEEE Transactions on Cognitive and Developmental Systems, DOI:10.1109/TCDS.2021.3065200, 2021.
11S. K. Behera, P. Kumar, P. Kaushik, D. P. Dogra, P. Roy. Two-Stage Verification of Air Signatures using Motion and Brain Activities, IEEE Transactions on Consumer Electronics , 67(1): 58-67, 2021.
12D. Das Chakladar, P. Kumar, P. P. Roy, D. P. Dogra, E. Scheme, V. Chang, A multimodal-Siamese Neural Network (mSNN) for Person Verification using Signatures and EEG, Information Fusion, 71:17-27, 2021.
13P. Keserwani, G. Kumar, P. P. Roy, D. P. Dogra. Logo detection using weakly supervised saliency map, Multimedia Tools and Applications, 80:4341–4365, 2021.
14K. K. Santhosh, D. P. Dogra, P. P. Roy and B. B. Chaudhuri, Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model, IEEE Transactions on Cybernetics , vol. 51, no. 8, pp. 4148-4161, Aug. 2021, doi: 10.1109/TCYB.2019.2931139.
15K. K. Santhosh, D. P. Dogra, P. P. Roy, Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey, ACM Computing Surveys, 53(6):1-26, 2020.
16A. Ahmed, D. P. Dogra, H. Choi, S. Chae, I. Kim. Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes, Multimedia Tools and Applications, 79:24537–24551, 2020.
17A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy, D. K. Prasad. Can we automate diagrammatic reasoning? Pattern Recognition, 106 (107412):1-12, 2020.
18A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy, D. Prasad. ELM-HTM Guided Bio-inspired Unsupervised Learning for Anomalous Trajectory Classification, Cognitive Systems Research, 63, 30-41, 2020.
19D. D. Chakladar, S. Dey, P. P. Roy, D. P. Dogra. EEG-based Mental Workload Estimation Using Deep BLSTM-LSTM Network and Evolutionary Algorithm, Biomedical Signal Processing and Control, 60(101989): 1-10, 2020.
20A. Ahmed, D. P. Dogra, S. Kar, P.P. Roy. Video trajectory analysis using unsupervised clustering and multi-criteria ranking, Soft Computing, 24:6643–16654, 2020.
21S. Gupta, P. P. Roy, B. G. Kim, D. P. Dogra. Retrieval of colour and texture images using local directional peak valley binary pattern, Pattern Analysis and Applications, 23:1569–1585, 2020.
22S. Kumar, M. Gahalawat, P. P. Roy, D. P. Dogra, B-G Kim, Exploring impact of Age and Gender on Sentiment Analysis, Electronics, 9(2):274, pp.1-14, 2020.
23Shreetam Behera, Debi Prosad Dogra, Malay Bandyopadhyay, Partha Pratim Roy, Estimation of Linear Motion in Dense Crowd Videos using Langevin Model, Expert Systems with Applications, 150, pp. 1-16, 2020.
24G. S. Hong, B. G. Kim, D. P. Dogra, P. P. Roy, A Survey of Real-time Road Detection Techniques Using Visual Color Sensor, Journal of Multimedia Information System, 5(1):9-14, 2018.
25K. K. Santhosh, A. Chakraborty, D. P. Dogra, P. P. Roy. Likelihood Learning in Modified Dirichlet Process Mixture Model for Video Analysis, Pattern Recognition Letters, Vol. 128, pp. 211-219, 2019.
26A. Ahmed, D. P. Dogra, S. Kar, R. Patnaik, S. Lee, H. Choi, I. Kim. Query-based Video Synopsis using Trajectory Clustering, IEEE Transactions on Intelligent Transportation Systems, 21(8):3457-3468, 2020.
27S. Mukherjee, S. Kar, P. Roy, D. P. Dogra, A. Ahmed. Fingertip Detection and Tracking for Recognition of Air-Writing in Videos, Expert Systems with Applications, 136:217-229, 2019.
28K. K. Santhosh, S. Mohapatra, D. P. Dogra, P. P. Roy. Computer Vision-guided Intelligent Traffic Signaling for Isolated Intersections, Expert Systems with Applications, 135:267-278, 2019.
29 A. Singla, P. Roy, D. P. Dogra. Visual Rendering of Shapes Guided by Air Hand Gestures, Displays, 57:18-33, 2019.
30P. Kaushik, A. Gupta, P. P. Roy, D. P. Dogra, EEG-based Age and Gender Prediction Using Deep BLSTM-LSTM Network Model, IEEE Sensors, 19(7):2634-2641, 2019.
31R. Saini, P. Kumar, K. C. Santosh, A. Kaur, P. Roy, D. P. Dogra. Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare, International Journal of Machine Learning and Cybernetics, 10:2529–2540, 2019.
32A.K. Dash, S. K. Behera, D. P. Dogra, P. P. Roy. Designing of Marker-based Augmented Reality Learning Environment for Kids Using Convolutional Neural Network Architecture, Displays, 55:46-54, 2018.
33K. K. Santhosh, D. P. Dogra, P. Roy. Queuing Theory-based Approach for Prediction of Traffic Signal Duration using Dirichlet Process Mixture Model, Expert Systems with Applications, 118:169–181, 2019.
34R. Saini, A. Singhal, B. Kim, D. P. Dogra, P. P. Roy, P. Kumar. Summarization of Videos by Analyzing Affective State of the User through Crowdsource, Cognitive Systems Research, 52:917-930, 2018.
35P. Kumar, A. Singhal, R. Saini, P. Roy, D. P. Dogra. A Pervasive Authentication System for Cloud Environment using EEG Signals, Displays, 55:64-70, 2018.
36 P. Kumar, S. Mukherjee, R. Saini, P. Kaushik, P. Roy, D. P. Dogra. Multimodal Gait Recognition with Inertial Sensor Data and Video using Evolutionary Algorithm, IEEE Transactions on Fuzzy Systems, 27(5):956-965, 2019.
37J-H. Kim, G-S. Hong, B-G. Kim, D. P. Dogra. deepGesture: Deep Learning-based Gesture Recognition Scheme using Motion Sensors, Displays, 55:38-45, 2018.
38A. Bhattacharya, R. Saini, P. Roy, D. P. Dogra, S. Kar. Recognizing Gender from Human Facial Regions using Genetic Algorithm, Soft Computing, DOI:10.1007/s00500-018-3446-9, 2018.
39A. Ahmed, D. P. Dogra, S. Kar, P.P Roy. Clustering, Trajectory-based Surveillance Analysis: A Survey, IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2018.2857489, 2018.
40K K Santhosh, D. P. Dogra, P. P. Roy, Temporal unknown incremental clustering model for analysis of traffic surveillance videos, IEEE Transactions on Intelligent Transportation Systems, 20(5):1762-1773, 2019.
2018.
41R. Saini, P. Kumar, P. Roy, D. P. Dogra. A Novel Framework of Continuous Human-Activity Recognition using Kinect, Neurocomputing, Vol. 311, pp. 99-111, 2018.
42S K Behera, S Bhoi, D P Dogra, P P Roy. Robustness Analysis of Leap Motion Sensor Guided Air Authentication System, IEEE Transactions on Consumer Electronics, 64(2):171-179, 2018.
43A. Ahmed, D. P. Dogra, S. Kar, P. Roy. Surveillance Scene Representation and Trajectory Anomaly Detection Using Aggregation of Multiple Concepts, Expert Systems with Applications, Vol. 101, pp. 43-55, 2018.
44S. K. Behera, D. P. Dogra, P. Roy. Fast Recognition and Verification of 3D Air Signatures Using Convex Hull, Expert Systems with Applications, Vol. 100, pp. 106-119, 2018.
45R. Saini, P. Roy, D. P. Dogra. A Novel Point-Line Duality Feature for Trajectory Classification, The Visual Computer, 35(3):415-427, 2019.
46P. Kumar, S. Mukherjee, R. Saini, P. P. Roy, D. P. Dogra, B. G. Kim, Plant Disease Identification using Deep Neural Networks, Journal of Multimedia Information System, 4(4):233-238, 2017.
47S. Mukherjee, R. Saini, P. Kumar, P. P. Roy, D. P. Dogra, B. G. Kim, Fight Detection in Hockey Videos using Deep Network, Journal of Multimedia Information System, 4(4):225-232, 2017.
48A. Fatir, P. Roy, D. P. Dogra. Exercise Classification and Event Segmentation in HINE Videos, Machine Vision and Applications, Vol. 29, No. 2, pp. 233-245, 2018.
49P. Kumar, P. P. Roy, D. P. Dogra. Independent Bayesian Classifier Combination based Sign Language Recognition using Facial Expression, Information Sciences , Vol. 428, pp. 30-48, 2018.
50R. Saini, P. P. Roy, D. P. Dogra. A Segmental HMM based Trajectory Classification using Genetic Algorithm, Expert Systems with Applications Vol. 93, pp. 169-181, March 2018.
51P. Kumar, R. Saini, P. P. Roy, P. K. Sahu, D. P. Dogra. Envisioned Speech Recognition using EEG Sensors, Personal and Ubiquitous Computing , Vol. 22, No. 1, pp. 185-199, 2018.
52M. Chebiyyam, R. Reddy, D. P. Dogra, H. Bhaskar, M. Mihaylova. Motion Anomaly Detection and Trajectory Analysis in Visual Surveillance, Multimedia Tools and Applications, 77(13):16223–16248, 2018.
53S. K. Behera, D. P. Dogra, P. P. Roy. Analysis of 3D Signatures Recorded Using Leap Motion Sensor, Multimedia Tools and Applications, Vol. 77, No. 11, pp. 14029-14054, 2018.
54A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy. Unsupervised Classification of Erroneous Video Object Trajectories, Soft Computing , Vol. 22, No. 14, pp. 4703-4721, 2018.
55P. Kumar, R. Saini, P. P. Roy, D. P. Dogra. A Position and Rotation Invariant Framework for Sign Language Recognition (SLR) using Kinect, Multimedia Tools and Applications, Vo. 77, No. 7, pp. 8823-8846, 2018.
56M. Yadava, P. Kumar, R. Saini, P. P. Roy, D. P. Dogra. Analysis of EEG Signals and Its Application to Neuromarketing, Multimedia Tools and Applications, Vol. 76, No. 18, pp. 19087-19111, 2017.
57P. Kumar, R. Saini, P. P. Roy, D. P. Dogra. A Bio-Signal based Framework to Secure Mobile Devices, Journal of Network and Computer Applications, 89: 62-71 (2017).
58P. Kumar, H. Gauba, P. Singh, P. P. Roy, B. Raman, D. P. Dogra. Prediction of Advertisement Preference by Fusing EEG Response and Sentiment Analysis, Neural Networks, 92: 77-88 (2017).
59P. Kumar, H. Gauba, P. P. Roy, D. P. Dogra. Coupled HMM-based Multi-Sensor Data Fusion for Sign Language Recognition, Pattern Recognition Letters, 86(15):1-8, 2017.
60P. Kumar, R. Saini, P. P. Roy, D. P. Dogra. 3D Text Segmentation and Recognition using Leap Motion, Multimedia Tools and Applications, 76(15): 16491-16510 (2017).
61P. Kumar, R. Saini, P. P. Roy, D. P. Dogra. Study of Text Segmentation and Recognition using Leap Motion Sensor, IEEE Sensors Journal, 2016, 17(5):1293-1301 (2017).
62P. Kumar, H. Gauba, P. P. Roy, D. P. Dogra. A Multimodal Framework for Sensor based Sign Language Recognition, Neurocomputing, 259: 21-38 (2017)
63A. Ahmed, D. P. Dogra, B. G. Kim, P. Hill, S. Kar, H. Bhaskar. Localization of region of interest in surveillance scene, Multimedia Tools and Applications, 76(11): 13651-13680 (2017).
64 N. Paul, A. Singh, A. Midya, P. P. Roy, D. P. Dogra. Moving Object Detection using Modified Temporal Differencing and Local Fuzzy Thresholding, Journal of Supercomputing, 73(3):1120-1139 (2017).
65A. Sikdar, S. K. Behera, D. P. Dogra. Computer Vision Guided Pulse Rate Estimation: A Review, IEEE Reviews in Biomedical Engineering, 9(1):1-15, December 2016.
66K. M. Vamsikrishna, D. P. Dogra, M. S. Desarkar. Computer Vision Assisted Palm Rehabilitation With Supervised Learning, IEEE Transactions on Biomedical Engineering, 63(5):991-1001, 2016.
67H. Bhaskar, K. Dwivedi, D. P. Dogra, M. Al-Mualla, L. Mihaylova. Autonomous Detection and Tracking under Illumination Changes, Occlusions and Moving Camera, Signal Processing, 117:343–354, 2015.
68D. P. Dogra, A. Ahmed, H. Bhaskar. Smart Video Summarization using Mealy Machine based Trajectory Modelling, Multimedia Tools Applications, 75(11):6373–6401, 2016.
69D. P. Dogra, B. Vishal, A. K. Majumdar, S. Sural, J. Mukhopadhyay, S. Mukherjee, and A. Singh. Video analysis of Hammersmith lateral tilting examination using Kalman filter guided multi-path tracking. Medical & Biological Engineering & Computing, 52(9):759-772, 2014.
70D. P. Dogra, A. K. Majumdar, S. Sural, J. Mukhopadhyay, S. Mukherjee,and A. Singh. Analysis of Adductors Angle Measurement in Hammersmith Infant Neurological Examinations using Mean Shift Segmentation and Feature Point based Object Tracking. Computers in Biology and Medicine, 42(9):925-934,2012.
71D. P. Dogra, A. K. Majumdar, S. Sural, J. Mukhopadhyay, S. Mukherjee, and A. Singh. Toward Automating Hammersmith Pulled-To-Sit Examination of Infants using Feature Point based Video Object Tracking. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(1):38-47,2012.
72D. P. Dogra, A. K. Majumdar, and S. Sural. Evaluation of Segmentation Techniques Using Region Area and Boundary Matching Information. Visual Communication and Image Representation 23(1):150-160,2012.
73D. P. Dogra, K. Nandam, A. K. Majumdar, S. Sural, J. Mukhopadhyay, B. Majumdar, S. Mukherjee, and A. Singh. A Tool for Automatic Hammersmith Infant Neurological Examination. E-Health and Medical Communications, 2(2):1-13,2011.