This paper analyses the behavior of some existing background subtraction algorithms for possible use in automated video surveillance applications. The performance of the analyzed algorithms has been demonstrated by their authors on a selected video sequences to show the merits of their approaches. Nevertheless, choosing an adequate approach for a given application is not an easy task. In this study; by using background subtraction evaluation metrics combined with visual inspection, we asses in deep the performance of 04 algorithms under a variety of video surveillance challenges. This experimental analysis highlights the advantages and the limitations of each approach and helps in choosing the suitable method for a given video surveillance scenario.

Date Published: 4 March 2015
PDF: 6 pages
Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944327 (4 March 2015); doi: 10.1117/12.2179213

Published in SPIE Proceedings Vol. 9443:
Sixth International Conference on Graphic and Image Processing (ICGIP 2014)
Yulin Wang; Xudong Jiang; David Zhang, Editor(s)