Showing papers by "Anthony Dick published in 2003"

Issues in Automated Visual Surveillance

Abstract: The usefulness of networks of surveillance cameras is primarily lim- ited by the demand placed on human supervisors to monitor many real time video feeds simultaneously. The goal of automated visual surveillance is to reduce the burden on operators by including software in a surveillance system that can anal- yse video content automatically. This paper reviews progress in the field and con- siders some of the major remaining problems in automated video surveillance.

Probabilistic Multiple Cue Integration for Particle Filter Based Tracking

Abstract: Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising approach to robust vi- sual tracking in situations where no single cue is suitable. In this paper, an algorithm is presented which integrates multiple cues in a proba- bilistic manner. Specifically the likelihood of each cue is calculated and weighted before Bayes' rule is applied to obtain the resultant posterior. This posterior is generally not well represented analytically, and is there- fore represented as a set of weighted particles, which is updated at each frame by a particle filter. This paper demonstrates how the combination of multiple cue integration and particle filtering results in a robust track- ing method. We also demonstrate how each cue's weight can be adapted on-line during the tracking procedure.