Image has become convenient input to most of the applications in the industries and real life. Vision applications like robotic motion, conveyor belt application, automatic vehicle control,
video surveillance, automatic quality control, biometrics etc. use image(s) as input. The extracted patterns from the images serve as the major factor deciding the quality of output
in the said applications. Hence computer vision and pattern recognition has emerged as an important field of research and prerequisite of many application specific processes.
The center will thrust upon researching out industry oriented outputs in the field of computer vision and pattern recognition, and will further step ahead for integrating the developed
methods with real world applications.
Research Focus
- Visual Surveillance
- Biomedical Imaging
- Biometrics
- Robotic Vision
- Action, Event, and Emotion Recognition
- Video Summarization
- Person Tracking and Reidentification
- Scene Perception
- Semantic Scene Segmentation
Activities
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Research Project : Prof. Pankaj Kumar Sa, Person Re-identification using Feature Correspondence in Multi-Camera Network Surveillance Infrastructure, sponsored by SERB, Sept 2014 - Sept 2016.
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Symposium / Conferences : International Conference on Advanced Computing, Networking, and Informatics [ICACNI] View More
DataSets
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Various datasets of the research centre are available here.View Datasets