Video Surveillance and Biomedical Signal Processing Lab

Books as Author

  • M H Kolekar, “Intelligent Video Surveillance system: An Algorithmic Approach”, CRC Press, 2018
  • M H Kolekar and Vinod Kumar, “Biomedical Signal Processing: A Machine Learning and Deep Learning Approach”, CRC Press, contract signed

    • Books as Editor

  • C Chakraborty, A Banerjee, M H Kolekar, L Garg, B Chakraborty “Internet of Things for Healthcare Technologies”, Springer, 2020
  • M H Kolekar, Vinod Kumar, "Biomedical Signal and Image Processing in Patient Care", IGI Global, 2017.
  • P K Singh, M H Kolekar, S Tanwar, S T Wierzchoń, R K. Bhatnagar, “Emerging Technologies for Computing, Communication and Smart Cities”, ProceedingsofETCCS, Springer, 2021
  • P K Singh, Y. Singh, M H Kolekar, A K Kar, J K Chhabra, ASen, “Recent Innovations in Computing”, Proceedings of ICRIC, Springer 2021 (ISBN978-981-15-8296-7)
  • P K Singh, A Noor, M H Kolekar, S Tanwar, R K Bhatnagar, S Khanna, “Evolving Technologies for Computing, Communication and Smart World”, ProceedingsofETCCS, Springer 2020
  • P K Singh, A K Kar, Y Singh, M H Kolekar, S Tanwar, “Proceedings of ICRIC2019”,Springer 2019.
  • M H Kolekar and U. Rajendra Acharya, “Special Section on Biomedical Signal andImage Processing”, Journal of Medical Imaging and Health Informatics, AmericanScientific Publishers, June 2012.
  • M H Kolekar, “Proceedings of Int Conf on Signal, Image and VideoProcessing”,Excellent Publishing House, Jan 2012.

    • Book Chapter

    • Ray, A., & Kolekar, M. H. (2022). Image Segmentation and Classification Using Deep Learning. Machine Learning Algorithms for Signal and Image Processing, 19-36.
    • N Sharma, M H Kolekar, "Dementia Diagnosis with EEG using Machine Learning”, Artificial Intelligence for Neurological Disorders, Elsevier publication, 2022.
    • C.K. Jha, M.H. Kolekar, "Arrhythmia ECG beats classification using wavelet-based features and support vector machine classifier", IGI Global Publisher, 2019
    • D.P. Dash, M. H. Kolekar, "Epileptic Focus Localization: A Discrete Wavelet Transform and Hidden Markov Model based Approach", Biomedical Signal and Image Processing in Patient Care, IGI Global Publisher, 2017
    • C K Jha, M. H. Kolekar, “Classification and compression of ECG Signal for Holter Device” Biomedical Signal and Image Processing in Patient Care, IGI Global Publisher, 2017
    • S. Chatterjee and M H Kolekar, “Feature extraction and segmentation techniques in static hand gesture recognition system”, Hybrid Intelligence for Image Analysis and Understanding, John Wiley Publication, UK, 2016
    • H Rai, M. H. Kolekar, N Keshav, J K Mukherjee, “Trajectory Based Unusual Human Movement Identification for Video Surveillance System”, Progress in Systems Engineering, Springer publication, pp. 789-794, 2015
    • A. K. Verma, S Sarangi, M. H. Kolekar, “Misalignment Fault Prediction of Motor-Shaft using Multiscale Entropy and Support Vector Machine”, Advances in Intelligent Informatics, Springer International Publishing, pp.359-370, 2015.
    • M. H. Kolekar, G. Raja, S. Sengupta, “An introduction to wavelet-based image processing and its applications”, Recent Advances in Computer Vision and Image Processing: Methodologies and Applications, IGI Global publishers, USA, 2013.
      • S Bose, S Nawale, D Khut, M H Kolekar, "LumiNet: Multi-Spatial Attention Generative Adversarial Network for Backlit Image Enhancement", IEEE Transactions on Instrumentation and Management, 2023 (Accepted)S Bose, S Nawale, D Khut, M H Kolekar, "LumiNet: Multi-Spatial Attention Generative Adversarial Network for Backlit Image Enhancement", IEEE Transactions on Instrumentation and Management, 2023 (Accepted)

    International Journal Papers

    • M. H. Kolekar, S. Bose and A. Pai, "SARain-GAN: Spatial Attention Residual UNet Based Conditional Generative Adversarial Network for Rain Streak Removal," in IEEE Access, vol. 12, pp. 43874-43888, 2024
    • N. Aslam, M. H. Kolekar." TransGANomaly: Transformer based Generative Adversarial Network for video anomaly detection". Journal of Visual Communication and Image Representation. 2024 Mar 4:104108.
    • R. Kishore, N. Aslam and M. H. Kolekar, "PATReId: Pose Apprise Transformer Network for Vehicle Re-Identification," in IEEE Transactions on Emerging Topics in Computational Intelligence, doi: 10.1109/TETCI.2024.3372391
    • S. Bose, M. H. Kolekar, S. Nawale and D. Khut, "LoLTV: A Low Light Two-Wheeler Violation Dataset With Anomaly Detection Technique," in IEEE Access, vol. 11, pp. 124951-124961, 2023
    • S. Bose, S. Nawale, D. Khut and M. H. Kolekar, "LumiNet: Multispatial Attention Generative Adversarial Network for Backlit Image Enhancement," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-14, 2023
    • Nazia Aslam, Maheshkumar H. Kolekar, “DeMAAE: Deep Multiplicative Attention-based Autoencoder for Identification of Peculiarities in Video Sequences”, The Visual Computer, Springer Journal, 2023
    • Ray, A., Kolekar, M. H., Balasubramanian, R., & Hafiane, A. (2023). Transfer Learning Enhanced Vision-based Human Activity Recognition: A Decade-long Analysis. International Journal of Information Management Data Insights, 3(1), 100142.
    • N Aslam, M H Kolekar, “A3N: Attention-based adversarial autoencoder network for detecting anomalies in video sequence”, Elsevier, Journal of Visual Communication and Image Representation, 2022 (Impact Factor 2.9)
    • N Aslam, M H Kolekar, “Unsupervised Anomalous Event Detection Using Interfused Autoencoder”, Multimedia Tools and Applications, 2022, (Springer). (Impact Factor: 2.8)
    • Ray, A., Kolekar, M. H., Balasubramanian, R., & Hafiane, A. (2023). Transfer Learning Enhanced Vision-based Human Activity Recognition: A Decade-long Analysis. International Journal of Information Management Data Insights, 3(1), 100142.
    • Review of Machine and Deep Learning Techniques in Epileptic Seizure Detection using Physiological Signals and Sentiment Analysis DPD Maheshkumar H Kolekar, Chinmay Chakraborty
    • Pranesh G, M H. Kolekar, "Automatic song indexing by predicting listener’s emotion using EEG correlates and multi-neural networks" Multimedia Tools and Applications, 2022, (Springer). (Impact Factor: 2.313)
    • V K Singh, M H Kolekar, “Deep Learning Empowered COVID-19 Diagnosis Using Chest CT Scan Images for Collaborative Edge-Cloud Computing Platform”, Springer Journal on Multimedia Tools and Applications, 2021 (Impact Factor: 2.313)
    • G Patil, P Dutta, G Sakarkar, M H Kolekar, K Paithankar, "Novel Approach for DNS Tunneling Attack Detection Using Image Classification", Neuroscience Informatics, (Elsevier), 2022 (Impact Factor: 3.45)
    • Neelam, M H Kolekar, and K Jha, “EEG based Dementia Diagnosis using Multi-class Support Vector Machine with Motor Speed Cognitive Test”, Biomedical Signal Processing and Control (Elsevier), vol 63, 2021. (Impact factor 3.13)
    • D P Dash, M H. Kolekar, and Kamlesh Jha. "Surface EEG based epileptic seizure detection using wavelet-based features and dynamic mode decomposition power along with KNN classifier" Multimedia Tools and Applications, pp 1-21, 2021 (Impact Factor: 2.313)
    • Neelam, M H Kolekar, and K Jha, “EEG based Dementia Diagnosis using Multi-class Support Vector Machine with Motor Speed Cognitive Test”, Biomedical Signal Processing and Control (Elsevier), vol 63, 2021. (Impact factor 3.13)
    • C. K. Jha and M H Kolekar, “Tunable Q-Wavelet based ECG Data Compression with Validation using Cardiac Arrhythmia Patterns”, Biomedical Signal Processing and Control (Elsevier), 2021. (Impact factor 3.13)
    • C. K. Jha, and M H Kolekar, “Empirical Mode Decomposition and Wavelet Transform based ECG Data Compression Scheme”, Journal on Innovation and Research in Biomedical Engineering (Elsevier), Vol 42 (1), pp 65-72, 2021 (Impact factor 1.9)
    • M H Kolekar, C K Jha, P Kumar, “ECG Data Compression Using Modified Run Length Encoding of Wavelet Coefficients for Holter Monitoring”, Journal on Innovation and Research in Biomedical Engineering (Elsevier), 2021 (Impact factor 1.9)
    • Neelam, M H Kolekar, K Jha, “Iterative Filtering Decomposition based Early Dementia Diagnosis using EEG with Cognitive Tests”, IEEE Transactions on Neural Systems & Rehabilitation Engineering, Vol. 28 (9), pp 1890-1898, 2020 (Impact Factor 3.8)
    • D P Dash, M H Kolekar, K Jha, "Multi-channel EEG based automatic epileptic seizure detection using iterative filtering decomposition and hidden Markov model", Computers in Biology and Medicine (Elsevier), 2020 (Impact factor 4.6)
    • C K Jha, and M H. Kolekar, “Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier”, Biomedical Signal Processing and Control (Elsevier), vol 59, 2020. (Impact Factor 3.13)
    • C K Jha, and M H. Kolekar, “Diagnostic quality assured ECG signal compression with selection of appropriate mother wavelet for minimal distortion”, Science, Measurement and Technology, (IET), 2019. (Impact factor 2.23)
    • N Sharma, M H Kolekar, K Jha, Y Kumar, “EEG and cognitive biomarkers based mild cognitive impairment diagnosis”, Journal on Innovation and Research in Biomedical Engineering (Elsevier), vol 40(2), pp. 113-121, 2019 (Impact factor 1.9)
    • C. K. Jha and M H Kolekar, “Electrocardiogram data compression using DCT based discrete orthogonal Stockwell transform”, Biomedical Signal Processing and Control (Elsevier), vol 46, pp 174-181, 2018. (Impact factor 3.13)
    • Dhane D. M., Maiti M. , Mungle T. , Bar C. , Achar A. , M H Kolekar, Chakraborty C, "Fuzzy spectral clustering for automated delineation of chronic wound region using digital images", Computers in Biology and Medicine (Elsevier), vol 89, pp 551-560, 2017 (Impact factor 4.6)
    • A K Verma, S Sarangi and M. H. Kolekar, “Misalignment Faults Detection in Induction Motor Based on Multiscale Entropy and Artificial Neural Network”, Electric power Components and Systems (Taylor and Francis), vol 44 (8), 916-927, 2016. (Impact Factor 1.144)
    • M. H. Kolekar and S. Sengupta, “Bayesian Network Based Customized Highlight Generation for Broadcast Soccer Videos”, IEEE Transaction on Broadcasting, Vol 61(2), pp 195-209, 2015. (Impact factor 4.7)
    • A K Verma, S Sarangi and M. H. Kolekar, “Stator winding fault prediction of induction motors using multiscale entropy and grey fuzzy optimization methods” Computers and Electrical Engineering (Elsevier), vol 40 (7), pp 2246-2258, 2014. (Impact factor 2.66)
    • A. K. Verma, S. Sarangi, M. H. Kolekar, “Experimental Investigation of Misalignment Effects on Rotor Shaft Vibration and on Stator Current Signature”, Journal of Failure Analysis and Prevention (Springer), Vol. 14, No. 2, pp. 125-138, 2014. (Impact factor 0.8)
    • A. K. Verma, S. Sarangi, M. H. Kolekar, “Multi-scale Entropy Based Fault Detection of Broken Rotor Bar using Support Vector Machine”, Procedia Engineering (Elsevier), 2014. (Impact factor 1)
    • M. H. Kolekar, “Bayesian Belief Network based broadcast sports video indexing”, Multimedia Tools and Applications (Springer), Vol-54 (1), 27-54, 2011 (Impact factor 2.6)
    • M. H. Kolekar, S. Sengupta, “Semantic Concept Mining in Cricket Videos for Automated Highlight Generation”, Multimedia Tools and Applications (Springer), Vol-47 (3), 545-579, 2010. (Impact factor 2.6)

    International Conference Papers

    • A. Ray, G. Kumar, M. H. Kolekar,"CFAT : Unleashing Triangular Windows for Image Super-Resolution" in Proc. IEEE/CVF Conf. Compute. Vis. Pattern Recognit. (CVPR), June 2024 (Accepted)
    • A.C. Yadav, M. H. Kolekar, M. K. Zope, "ResNet-101 Empowered Deep Learning for Breast Cancer Ultrasound Image Classification." 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS
    • K. Shah, A. Joshi, S. Bose and M. H. Kolekar, "Accessory Based Classification of Football Players Using Attention UNet," 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE), GHAZIABAD, India, 2023, pp. 311-316
    • A. Pai, A. Raotole, S. Shirodkar, S. Bose and M. H. Kolekar, "From Pixels to Prognosis: Exploring Convolutional Neural Networks for Cassava Leaf Disease Diagnosis," 2023 OITS International Conference on Information Technology (OCIT), Raipur, India, 2023, pp. 168-173
    • A. C. Yadav, S. Bose and M. H. Kolekar, "Image Enhancement by Defogging utilizing Scene Specific Dark Channel Prior," IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2024
    • Aslam, Nazia, and Maheshkumar H. Kolekar. "A Probabilistic Approach for Detecting Human Motion in Video Sequence using Gaussian Mixture Model." In 2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), pp. 1-6. IEEE, 2022.
    • Bose, Samprit, Chavan Deep Ramesh, and Maheshkumar H. Kolekar. "Vehicle Classification and Counting for Traffic Video Monitoring Using YOLO-v3." 2022 International Conference on Connected Systems & Intelligence (CSI). IEEE, 2022.
    • D P Dash, M H Kolekar, “EEG based Epileptic Seizure Detection using Least Square SVM with Spectral and Multi-scale Key Point Energy Features”, Int Conf on Soft Computing for Problem Solving, Springer, 2019.
    • D.P.Dash, M.H.Kolekar, "Probability-Based Approach for Epileptic Seizure Detection Using Hidden Markov Model", 4th International Symposium SIRS 2018, Bangalore, India, September 19–22, 2018 (Received Best Paper Award)
    • D Ghosal, M H Kolekar, “Music Genre Recognition Using Deep Neural Networks and Transfer Learning”, 19th annual International INTERSPEECH Conf, 2018.
    • D P Dash, and M H. Kolekar, "Dense Optical Flow Trajectory-Based Human Activity Recognition Using Hierarchical Hidden Markov Model." Int Conf on Computer Vision & Image Processing (CVIP), Springer, Singapore, pp. 103-116. 2018.
    • D P Dash, M H Kolekar, "EEG based Epileptic Seizure Detection using Empirical Mode Decomposition and Hidden Markov Model", Symhealth, 2017. (Received Best Paper Award)
    • S Bhatnagar, D Ghosal, M. H. Kolekar, “Classification of Fashion Article Images using Convolutional Neural Networks”, Int. Conf. on Image Information Processing, Jaypee University, Solan, Simla, Dec 2017 (citations: 53).
    • Swati, Sparha M, D Devendra, S Chatterjee, M. H. Kolekar, “An efficient GMM and active contour based unsupervised person re-identification” Int. Conf. on Advances in Computing, Communications and Informatics, 2017.
    • M.H. Kolekar, D. P.Dash and P. N. Patil, "Support Vector Machine based Extraction of Crime Information in Human Brain using ERP Image" Int. Conf. on Computer Vision and Image Processing (CVIP), 2016.
    • C K Jha, M. H. Kolekar, “Efficient ECG data compression and transmission algorithm for Telemedicine”, Int Conf on COMmunication Systems and NETworkS (COMSNETS), 2016.
    • S Chatterjee, P Bhandari, M. H. Kolekar, “A Novel Krawtchouk Moment Zonal Feature Descriptor for User-independent Static Hand Gesture Recognition”, IEEE Int Conf TENCON, 2016.
    • M. H. Kolekar, D P Dash, “Hidden Markov Model Based Human Activity Recognition using Shape and Optical Flow Based Features”, IEEE Int Conf TENCON, 2016.
    • M. H. Kolekar, D P Dash, "A Nonlinear Feature Based Epileptic Seizure Detection using Least Square Support Vector Machine Classifier" IEEE TENCON, 2015.
    • C K Jha, M. H. Kolekar, “Performance Analysis of ECG Data Compression using Wavelet Based Hybrid Transform Method”, Int Conf on Microwave, Optical and Communication Engineering (ICMOCE), IIT Bhubaneswar, 2015.
    • M. H. Kolekar, Abhinash K. Jha, Apurva Singh, Sneha Srivastava, “A Mask based approach for Lossless Color Image Steganography”, 21st American Conf on Information Systems, Puerto Rico, USA, August 2015.
    • Abhishek Kumar, M. H. Kolekar, “Machine Learning Approach for Epileptic Seizure Detection Using Wavelet Analysis of EEG Signals”, Int. Conf. on Medical Imaging, M-health and Emerging Communication Systems, 2014.
    • M. H. Kolekar, H. Rai, L Raja, Anamika Prasad, “Image Based Arterial Wall Thickness Estimation for Abdominal Aortic Aneurysm Rupture Risk Analysis”, 4th Int Congress on Computational Mechanics and Simulation, IIT Hyderabad, 2012.
    • A K S Kushwaha, O Prakash, A Khare, M H Kolekar, “Rule based human activity recognition for surveillance system”, 4th Int Conf on Intelligent Human Computer Interaction (IHCI), 2012.
    • M. H. Kolekar, K. Palaniappan, S. Sengupta, “Video Event Detection and Semantic Identification Using Bayesian Belief Networks”, IEEE Int. Conf. on Computer Vision (ICCV) workshop, Kyoto, Japan, Sept 2009.
    • M. H. Kolekar, K. Palaniappan, “A Hierarchical Framework for Semantic Scene Classification in Soccer Sports Video”, IEEE Int Conf. TENCON, India, 2008.
    • M. H. Kolekar, K. Palaniappan and S. Sengupta, “A Novel Framework for Semantic Annotation of Soccer Sports Video Sequences”, IET European Conf on Visual Media Production (CVMP), London, UK, 2008.
    • M. H. Kolekar, S. Sengupta, “A Hierarchical Framework for Generic Sports Video Classification”, Asian Conf on Computer Vision (ACCV), Hyderabad, India, 2006.
    • M. H. Kolekar, S. Sengupta, “Event-importance based customized and automatic cricket highlight generation”, IEEE Int. Conf. on Multimedia and Expo (ICME), 2006.
    • M. H. Kolekar, S. Sengupta, “Hierarchical structure for audio-video based semantic classification of sports video sequences”, SPIE Int. Conf. on Visual Communications and Image Processing (VCIP), SPIE-5960/ 401-409, Beijing, China, 2005.