ICVS 2011 Keynote Speech

Dr. Shah will give a keynote speech on "Video Surveillance Systems - UCF Computer Vision Lab Experience" at the 8th International Conference on Computer Vision Systems (ICVS).

Video surveillance and monitoring is one of most active areas of research in Computer Vision. The main steps in a video surveillance system include: detection and categorization of objects of interest in video (e.g. people, vehicles), tracking of those objects from frame to frame, and recognition of their activities, behavior and patterns. Illumination changes, shadows, occlusion and clutter etc make moving object detection difficult. Dealing with occlusion and object interaction in high density scenes, and tracking across multiple overlapping and non-overlapping field cameras are some of the challenges in tracking. Activity recognition is an area of active research and learning based solutions seem to be the most promising ones and there are still many challenges to be addressed. Over the last decade a number of prototype Surveillance Systems have been developed at UCF Computer vision lab, employing in-house developed point solutions for above components. In this talk I will first present key techniques in object detection, tracking and activity detection, then discuss the software engineering aspects of two of those systems namely: KNIGHT: Ground Surveillance System for low density scenes, and COCOA - a solution for tracking moving objects in aerial videos. I will discuss the lifecycle of systems developed in a typical academic environment, the typical code quality issues encountered and efforts being undertaken to improve continuously.

ICVS 2011 will be held at Sophia Antipolis on the French Riviera from September 20 to 22, 2011. While most computer vision conferences focus on either algorithms or applications, ICVS addresses issues arising in the design and deployment of computer vision systems. ICVS brings together researchers and developers from academia and industry around the world. Due to its perspective on systems, it is a platform for knowledge and technology transfer and for the identification of application-driven research questions.