Sciweavers

Share
PR
2008

A real-time object detecting and tracking system for outdoor night surveillance

8 years 4 months ago
A real-time object detecting and tracking system for outdoor night surveillance
Autonomous video surveillance and monitoring has a rich history. Many deployed systems are able to reliably track human motion in indoor and controlled outdoor environments. However, object detection and tracking at night remain very important problems for visual surveillance. The objects are often distant, small and their signatures have low contrast against the background. Traditional methods based on the analysis of the difference between successive frames and a background frame will do not work. In this paper, a novel real time object detection algorithm is proposed for night-time visual surveillance. The algorithm is based on contrast analysis. In the first stage, the contrast in local change over time is used to detect potential moving objects. Then motion prediction and spatial nearest neighbor data association are used to suppress false alarms. Experiments on real scenes show that the algorithm is effective for night-time object detection and tracking. 2007 Published by Elsevi...
Kaiqi Huang, Liangsheng Wang, Tieniu Tan, Stephen
Added 14 Dec 2010
Updated 14 Dec 2010
Type Journal
Year 2008
Where PR
Authors Kaiqi Huang, Liangsheng Wang, Tieniu Tan, Stephen J. Maybank
Comments (0)
books