Specialization : Image Processing and Computer Vision

Digital image processing is the use of computer algorithms to perform image processing on digital images. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images. 
The research in this area is focussed on image processing and computer vision,  vision and machine learning, mathematical modelling and analysis of images, low level image processing algorithms, medical image analysis and processing, design and development of computer aided diagnostic systems (CAD), medical image reconstruction, features extraction and selection, pattern recognition and classification,  soft computing, video surveillance, biometrics, video processing, image forensics, and gait recognition.

Sub Areas under Computer Vision:

  • Image Processing, Computer Vision
  • Computer Vision and machine learning
  • Medical image analysis and CAD
  • Low level Image analysis
  • Pattern recognition, Pattern Classification, Soft Computing
  • Video Surveillance
  • Biometrics
  • Information Forensics and Security

Recent Publications:

  • Shivam Garg, Rajeev Srivastava, “Object Sequences: Encoding Categorical and Spatial Information for a Yes/No Visual Question Answering Task”, IET Computer Vision, July’ 2018. DOI:  10.1049/iet-cvi.2018.5226. (SCI IF: 1.087)
  • Roshan Singh, Jagwinder Kaur Dhillon, Alok Kumar Singh Kushwaha, Rajeev Srivastava, “Depth based Enlarged Temporal Dimension of 3D deep Convolutional Network for Activity Recognition”, Multimedia Tools and Applications (Springer Journal), Accepted,  July ‘ 2018 (SCI IF: 1.541)
  • Nagendra Pratap Singh, Rajeev Srivastava, “Extraction of Retinal Blood Vessels by Using an Extended Matched Filter Based on Second Derivative of Gaussian”, Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, Springer, pp. 1-9, February 2018. (SCI IF: 0.425).
  • Amit Kumar Singh, Basant Kumar, Sanjay Kumar Singh, SP Ghrera, and Anand Mohan, “Multiple watermarking technique for securing online social network contents using Back Propagation Neural Network”, Future Generation Computer Systems, Volume 86, Pages 926-929, September 2018.
  • Santosh Kumar, Amit Pandey, K. Sai Ram Satwik, Sunil Kumar, Sanjay Kumar Singh, Amit Kumar Singh, and Anand Mohan, “Deep learning framework for recognition of cattle using muzzle point image pattern”, Measurement, Volume 116, Pages 1-17, 2018.
  • Santosh Kumar, D Datta, Sanjay Kumar Singh and AK Sangaiah, “An intelligent decision computing paradigm for crowd monitoring in the smart city”, Journal of Parallel and Distributed Computing, Volume 118, Part 2, Pages 344-358, 2018.
  • Santosh Kumar, Sanjay Kumar Singh, “Monitoring of pet animal in smart cities using animal biometrics”, Future Generation Computer Systems, Volume 83, Pages 553-563, June 2018.
  • Sanjay Kumar Singh, Amit Kumar Singh, Basant Kumar, Subir Kumar Sarkar, and Karm Veer Arya, "Guest Editorial: Multimedia for Predictive Analytics", Multimedia Tools and Applications, Volume 77, Issue 7, Pages 9189-9201, April 2018