A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance

B.T. Morris, M.M. Trivedi
2008 IEEE transactions on circuits and systems for video technology (Print)  
This paper presents a survey of trajectory-based activity analysis for visual surveillance. It describes techniques that use trajectory data to define a general set of activities that are applicable to a wide range of scenes and environments. Events of interest are detected by building a generic topographical scene description from underlying motion structure as observed over time. The scene topology is automatically learned and is distinguished by points of interest and motion characterized by
more » ... activity paths. The methods we review are intended for real-time surveillance through definition of a diverse set of events for further analysis triggering, including virtual fencing, speed profiling, behavior classification, anomaly detection, and object interaction.
doi:10.1109/tcsvt.2008.927109 fatcat:uyv2bx4h2fghtmh4qwpwhu5ohq