Simultaneous background and foreground modeling for tracking in surveillance video

TitleSimultaneous background and foreground modeling for tracking in surveillance video
Publication TypeConference Papers
Year of Publication2004
AuthorsShao J, Zhou SK, Chellappa R
Conference NameImage Processing, 2004. ICIP '04. 2004 International Conference on
Date Published2004/10//
Keywordsalgorithm;, analysis;, background-foreground, displacement, estimation;, image, information;, INTENSITY, modeling;, MOTION, processes;, processing;, resolution;, sequences;, signal, Stochastic, Surveillance, surveillance;, tracking, tracking;, video
Abstract

We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foreground by integrating motion and intensity information. Some other merits of the algorithm include adaptive selection of feature points for scene description and defining proper cost functions for displacement estimation. The experimental results show tracking robustness and precision in a challenging video sequences.

DOI10.1109/ICIP.2004.1419483