Video Analytics for Surveillance: Research Outcomes and Software Innovations at NCETIS
By Prof. Ganesh Ramakrishnan
Abstract:
Cameras have emerged as a very effective and important aspect of security and monitoring. In this talk, we present software solutions for analysing surveillance videos, providing summarization and helping raise real time actionable alerts. The solutions also facilitate smart video indexing and search. The solution turns a camera into a tool allowing prevention and detection of events in a proactive manner. This AI-based indigenous solution is backed by extensive research on algorithms for domain specific efficient summarization, query driven summarization, algorithms for generalization-based data subset selection for efficient and robust learning, efficient detection of human-object interaction by learning Interactions with graph and hierarchical temporal networks, real-time anomaly detection, crowd counting, etc. The presentation will very briefly feature a new upcoming feature of the product on ‘motion amplification of tiny objects having homogeneous background’.
For more details on the products please visit
https://www.cse.iitb.ac.in/~ganesh/videosurvellianceanalytics/
and visit https://www.cse.iitb.ac.in/~ganesh/Publications.html for the associated publications.