An adaptive scene description for activity analysis in surveillance video

This paper presents an adaptive framework for live video analysis. The activities of surveillance subjects are described using a spatio-temporal vocabulary learned from recurrent motion patterns. The repetitive nature of object trajectories are used to build a topographical map, where nodes are points of interest and the edges correspond to activities, to describe a scene. The graph is learned in an unsupervised manner but is flexible and able to adjust to changes in the environment or other scene variations.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Brendan Morris, Mohan M. Trivedi
• Keywords: Computer Vision, ICPR 2008, Live Video Analysis, Recurrent Motion Patterns, Scene Variations