Journals

2023

1. A. K. Dash, S. K. Behera,  D. P. Dogra, "PlutoAR: a scalable marker-based augmented reality application for interactive and inclusive education", Multimedia Tools and Applications, 2023.

2020

1. P. Keserwani, G. Kumar, P. P. Roy, D. P. Dogra. Logo detection using weakly supervised saliency map, Multimedia Tools and Applications, 2020 (Accepted).

2. K. K. Santhosh, D. P. Dogra, P. P. Roy, Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey, ACM Computing Surveys, 2020 (Accepted).

3. A. Ahmed, D. P. Dogra, H. Choi, S. Chae, I. Kim. Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes, Multimedia Tools and Applications, DOI: 10.1007/s11042-020-09096-x, 2020.

4. A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy, D. K. Prasad. Can we automate diagrammatic reasoning? Pattern Recognition, 106 (107412):1-12, 2020.

5. A. 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, DOI: 10.1016/j.cogsys.2020.04.003, 2020.

6. D. 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.

7. A. Ahmed, D. P. Dogra, S. Kar, P.P. Roy. Video trajectory analysis using unsupervised clustering and multi-criteria ranking, Soft Computing, DOI: 10.1007/s00500-020-04967-9, 2020.

8. S. 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, DOI: 10.1007/s10044-020-00879-4, 2020.

9. S. 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.

10. Behera, Shreetam, et al. "Estimation of Linear Motion in Dense Crowd Videos using Langevin Model." Expert Systems with Applications (2020): 113333. 

2019

1. K. 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.

2. K. K. Santhosh, D. P. Dogra, P. Roy, B. B. Chaudhuri, Trajectory-based Scene Understanding using Dirichlet Process Mixture Model, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2019.2931139, 2019.

3. A. 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, DOI: 10.1109/TITS.2019.2929618, 2019.

4. S. 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.

5. K. 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.

6. A. Singla, P. Roy, D. P. Dogra. Visual Rendering of Shapes Guided by Air Hand Gestures, Displays, 57:18-33, 2019.

7. P. 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.

8. K. 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.

9. 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.

10. R. Saini, P. Roy, D. P. Dogra. A Novel Point-Line Duality Feature for Trajectory Classification, The Visual Computer, 35(3):415-427, 2019.

2018

1. R. 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, DOI: 10.1007/s13042-018-0887-5, 2018.

2. A.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.

3. R. 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.

4. P. 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.

5. J-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.

6. A. 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.

7. A. 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.

8. K 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.

9. R. 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.

10. S 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.

11. A. 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.

12. S. 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.

13. A. 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.

14. G. 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.

15. P. 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.

16. R. 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.

17. P. 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.

18. M. 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.

19. S. 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.

20. A. 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.

21. P. 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.

2017

1. P. 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.

2. S. 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.

3. M. 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.

4. P. 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).

5. P. 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).

6. P. 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.

7. P. 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).

8. P. 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).

9. P. Kumar, H. Gauba, P. P. Roy, D. P. Dogra. A Multimodal Framework for Sensor based Sign Language Recognition, Neurocomputing, 259: 21-38 (2017)

10. A. 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).

11. 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).

2016

1. P. 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).

2. A. 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.

3. K. 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.

4. D. P. Dogra, A. Ahmed, H. Bhaskar. Smart Video Summarization using Mealy Machine based Trajectory Modelling, Multimedia Tools Applications, 75(11):6373–6401, 2016.

2015

1. H. 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. 

2014

1. D. 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.

2013

NIL

2012

1. D. 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.

2. D. 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.

3. D. 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.

2011

1. D. 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. 

Conferences

International 

1. Behera, S., Dogra, D., Bandyopadhyay, M. and Roy, P. Segmentation and Visualization of Crowd Flows in Videos using Hybrid Force Model. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP, pages 861-867, ISBN: 978-989-758-402-2. 

2. S. Tripathy, R. Sahoo, A. K. Dash, D. P. Dogra, Natural Gestures to Interact with 3D Virtual Objects using Deep Learning Framework, IEEE TENCON, 2019.

3. A. Ahmed, D. P. Dogra, S. Kar and P. P. Roy, Natural Language Description of Surveillance Event, ICITAM, vol 699, pp. 141-151, 2019.

4. A. A. Patwardhan, S. Das, S. Varshney, M. S. Desarkar and D. P. Dogra, ViTag: Automatic Video Tagging Using Segmentation and Conceptual Inference, IEEE BigMM, Singapore, September 11-13, 2019.

5. S. K. Behera, A. K. Dash, D. P. Dogra, P. P. Roy, Air Signature Recognition using Deep Convolutional Neural Network-Based Sequential Model, ICPR, pp.3525-3530, 2018.

6. P. Kumar, R. Saini, C. S. Tumma, P. P. Roy and D. P. Dogra, Gait Analysis Using Shadow Motion, 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), Nanjing, 2017, pp. 453-458.

7. A. Ahmed, D. P. Dogra, S. Kar and P. P. Roy. Extraction of Long-duration Moving Object Trajectories from Curtailed Tracks, CVIP-WM 2017.

8. Shreetam Behera, D. P. Dogra and P. P. Roy. Characterization of Dense Crowd using Gibbs Entropy, CVIP-WM 2017.

9. R. Saini, P. Kumar, P. Roy, D. P. Dogra, An Efficient Approach for Trajectory Classification using FCM and SVM, IEEE Tensymp 2017.

10. P. Kumar, R. Saini, P. Sahu, P. Roy, D. P. Dogra, Neuro-phone: An assistive framework to operate Smartphone using EEG signals, IEEE Tensymp 2017.

11. P. Kumar, R. Saini, M. Yadava, P. Roy, D. P. Dogra, Virtual Trainer with Real-Time Feedback using Kinect Sensor, IEEE Tensymp 2017.

12. S. Kumaran, D. P. Dogra, P. Roy, Real-time moving object classification using DPMM for road traffic management in smart cities, IEEE Tensymp 2017.

13. S. K. Behera, D. P. Dogra, P. Roy, Localization of signatures in continuous Air writing, IEEE Tensymp 2017.

14. A. Ahmed, D. P. Dogra, S. Kar, R. Patanaik, H. Choi, I. Kim, S. Lee, Video Synopsis Generation Using Spatio-Temporal Groups, IEEE ICSIPA 2017.

15. S. K. Behera, P. Kumar, D. P. Dogra, P. P. Roy, Fast Signature Spotting in Continuous Air Writing, Proceedings of the IAPR International Conference on Machine Vision and Applications (MVA), pp. 314-317. 2017.

16. P. Kumar, R. Saini, S. K. Behera, D. P. Dogra, P. P. Roy, Real-Time Recognition of Sign Language Gestures and Air-Writing using Leap Motion, Proceedings of the IAPR International Conference on Machine Vision and Applications (MVA), pp. 157-160, 2017.

17. P. Dey, D. P. Dogra , P. P. Roy, H. Bhaskar. Autonomous vision-guided approach for the analysis and grading of vertical suspension tests during HINE, Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 863-866, 2016.

18. S. Bhoi, D. P. Dogra, P. Roy. On-line Gesture Based User Authentication System Robust to Shoulder Surfing, Proceedings of the International Conference on Computer Vision and Image Processing (CVIP 2016), vol. 2, pp. 557-566, 2017.

19. A. Fatir, P. Roy, D. P. Dogra. Posture Recognition in HINE Exercises, Proceedings of the International Conference on Computer Vision and Image Processing (CVIP 2016), vol. 2, pp. 321-330, 2017.

20. R. Saini, A. Ahmed, D. P. Dogra, P. Roy. Classification of Object Trajectories Represented by High-level Features using Unsupervised Learning, Proceedings of the International Conference on Computer Vision and Image Processing (CVIP 2016), vol. 1, pp. 273-284, 2017.

21. R. Saini, A. Ahmed, D. P. Dogra, P. Roy. Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised Learning, Proceedings of the International Conference on Computer Vision and Image Processing (CVIP 2016), vol. 1, pp. 261-272, 2017.

22. K. M. Vamsikrishna, D. P. Dogra, H. Bhaskar. Classification of Head Movement Patterns to Aid Patients Undergoing Home-based Cervical Spine Rehabilitation, Proceedings of the IEEE ICASSP, pp. 849-853, 2016.

23. C. Agarwal, D. P. Dogra, R. Saini, P. P. Roy. Segmentation and Recognition of Text Written in 3D using leap Motion Interface, Proceedings of the 3rd Asian Conference on Pattern Recognition (ACPR), pp. 539-543, 2015.

24. A. Sikdar, S. K. Behera, D. P. Dogra, H. Bhaskar. Contactless Vision-based Pulse Rate Detection of Infants under Neurological Examinations, Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 650-653, 2015.

25. D. P. Dogra, A. Ahmed, H. Bhaskar. Interest Area Localization using Trajectory Analysis in Surveillance Scenes. Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISAPP), pp.31-38, 2015.

26. D. P. Dogra, R. D. Reddy, K.S. Subramanyam, A. Ahmed, H. Bhaskar. Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph, Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISAPP), pp.17-25, 2015.

27. D. P. Dogra, A. K. Majumdar, S. Sural, J. Mukhopadhyay, S. Mukherjee, A. Singh. Automatic Adductors Angle Measurement for Neurological Assessment of Post-neonatal Infants during Follow Up. In: LNCS Proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence, Moscow, vol. 6744, pp. 160-166, 2011.

28. S. Roy, D. P. Dogra, S. Bhattacharya, B. Saha, A. Biswas, A. K. Majumdar, J. Mukhopadhyay, B. Majumdar, A. Singh, A. Paria, S. Mukherjee. A Web Enabled Health Information System for Neonatal Intensive Care Unit (NICU). In: Proceedings of the 7th IEEE World Congress on Services (SERVICES), Washington, pp. 451-458, 2011.

29. D. P. Dogra, S. Sinha, A. K. Majumdar, S. Sural, J. Mukhopadhyay, B. Majumdar, S. Mukherjee, A. Singh. Automatic Posture Estimation for Hammersmith Infant Neurological Examination. In: Proceedings of the International Symposium on Medical Imaging-Perspectives on Perception and Diagnostics Organized in Conjunction with the Seventh Indian Conference on Computer Vision, Graphics and Image Processing, IIT Delhi, MA-202, 2010.

30. D. Patra, J. Mukbopadbyay, A. K. Majumdar, B. Majumdar, D. P. Dogra. Tele-consultation using Clinical Document Architecture in Disease Specific Domains. In: IEEE Proceedings of the 12th International Conference on E-Health Networking, Application and Services (Healthcom), Lyon, France, pp. 187-194, 2010.

31. D. P. Dogra, K. Nandam, A. K. Majumdar, S. Sural, J. Mukhopadhyay, B. Majumdar, S. Mukherjee, A. Singh. A User Friendly Implementation for Efficiently Conducting Hammersmith Infant Neurological Examination. In: IEEE Proceedings of the 12th International Conference on E-Health Networking, Application and Services (Healthcom), Lyon, France, pp.374-378, 2010.

32. D. P. Dogra , A. K.Majumdar, S. Sural. Evaluation of Segmentation Techniques Using Region Size and Boundary Information. In: LNCS Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI), IIT Delhi, vol. 5909, pp. 285-290,2009.

33. D. P. Dogra, K. Tripathy, A. K. Majumdar, S. Sural. A Comparative Study on Texture Features Used for Segmentation of Images Rich in Texture. In: IEEE Proceedings of the International Conference on Signal and Image Processing Applications (ICSIPA), Kuala Lumpur, pp. 336-339, 2009.

34. D. P. Dogra. A Hidden Markov Model Based Approach for Telephonic Digit Recognition. In: Proceedings of the CSI International Conference on Emerging Applications of IT (EAIT), Science City, Kolkata, pp. 287-290, 2006.

National

1. S. Bhoi, D. P. Dogra, P. P. Roy. Handwritten Text Recognition In Odia Script Using Hidden Markov Model, Proceedings of the 5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), IIT Patna, 16-19 Dec, 2015.

2. S. Bhattacharya, A. Roy, D. P. Dogra, A. Biswas, J. Mukhopadhyay, A. K. Majumdar, B. Majumdar, S. Mukherjee, A. Singh. Summarization of Neonatal Video EEG for Seizure and Artifact Detection. Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pp. 134-137, November 2011.

3. D. P. Dogra, A. K. Majumdar, S. Sural. Detection of Object Pick Up and Drop Off by Humans in Video Surveillance Applications. In: Proceedings of the National Seminar on Image Classification and Pattern Recognition (NSICPR), Vidyasagar University, 2009.

4. D. P. Dogra, H. Karmakar. Real-time Uncompressed Voice Transmission Through High Speed LAN. In: Proceedings of the National Conference on Applications of Advanced Technology in Networking, The Golden Retreat, Haldia, 2005.

Books and Chapters

1.  D. P. Dogra (2015). Visual Attention Guided Object Detection and Tracking. In R. Pal (Eds.), Innovative Research in Attention Modeling and Computer Vision Applications (pp. 100-115), IGI Global, Hershey, PA.

Papers Under Review

1. Shreetam Behera, D. P. Dogra, M. K. Bandyopadhyay and P. P. Roy. Computer Vision Guided Intelligent System for Crowd Flow Analysis Using Active-Langevin Force Model , Communicated, ACM, Transactions on Intelligent Systems and Technology (Submitted). 

2. S. K. Behera, P.  Kumar, P.  Kaushik, D. P. Dogra, P. Roy. Two-Stage Verification of Air Signatures using Motion and Brain Activities, Multimedia Systems (Submitted). 

3. P. Kumar, R. Saini, P. P. Roy, D. P. Dogra. Personal Image Generation using EEG and SSGANs: An Approach to Future Biometric, (Revision).

4. K. K. Santosh, D.  P. Dogra, A. Mitra, P. P. Roy. Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE (under revision).

5. A. Ahmed, D. P. Dogra, S. Kar, P. P. Roy, D. K. Prasad. Can we automate diagrammatic reasoning? Pattern Recognition (Revision Submitted).