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The Sakbot system for moving object detection and tracking
| Venue: | in Video-Based Surveillance Systems—Computer Vision and Distributed Processing |
| Citations: | 30 - 7 self |
BibTeX
@INPROCEEDINGS{Cucchiara_thesakbot,
author = {R. Cucchiara and C. Grana and G. Neri and M. Piccardi and A. Prati},
title = {The Sakbot system for moving object detection and tracking},
booktitle = {in Video-Based Surveillance Systems—Computer Vision and Distributed Processing},
year = {},
pages = {12},
publisher = {Kluwer}
}
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Abstract
Abstract: This paper presents Sakbot, a system for moving object detection in traffic monitoring and video surveillance applications. The system is endowed with robust and efficient detection techniques, which main features are the statistical and knowledge-based background update and the use of HSV color information for shadow suppression. Tracking is provided by a symbolic reasoning module allowing flexible object tracking over a variety of different applications. This system proves effective on many different situations, both from the point of view of the scene appearance and the purpose of the application. Key words: motion detection and segmentation, shadow suppression, background differencing, ghost detection 1.
Keyphrases
object detection sakbot system shadow suppression symbolic reasoning module ghost detection different application hsv color information traffic monitoring key word video surveillance application many different situation main feature background differencing knowledge-based background update motion detection flexible object tracking scene appearance efficient detection technique
