Title | Evaluation of Background Subtraction Algorithms with Post-Processing |
Publication Type | Conference Paper |
Year of Publication | 2008 |
Authors | Parks, D. H., and S. S. Fels |
Conference Name | Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE 5th International Conference on |
Pagination | 192 -199 |
Date Published | sep. |
Keywords | background subtraction algorithms, computer vision, foreground objects segmentation, image segmentation, video signal processing, video stream processing |
Abstract | Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a commonly used technique for achieving this segmentation. The popularity of BGS largely comes from its computational efficiency, which allows applications such as human-computer interaction, video surveillance, and traffic monitoring to meet their real-time goals. Numerous BGS algorithms and a number of post-processing techniques that aim to improve the results of these algorithms have been proposed. In this paper, we evaluate several popular, state-of-the-art BGS algorithms and examine how post-processing techniques affect their performance. Our experimental results demonstrate that post-processing techniques can significantly improve the foreground segmentation masks produced by a BGS algorithm. We provide recommendations for achieving robust foreground segmentation based on the lessons learned performing this comparative study. |
URL | http://dx.doi.org/10.1109/AVSS.2008.19 |
DOI | 10.1109/AVSS.2008.19 |