By Topic

Multi-Camera Tracking Based on Information Fusion in Video Surveillance

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Huibin Wang ; Coll. of Comput. & Inf. Eng., Univ. of Hohai, Nanjing, China ; Chaoying Liu ; Xuewu Zhang ; Qinwu Li

Recently, intelligent video surveillance system with multiple cameras is a research hotspot due to its wide application. This system has many advantages on improving the surveillance performance and extending surveillance functions. However, taking multi-camera resources and video data into account, many problems also need to explore and research. The paper designs a system that fuses tracking information from multiple cameras. The system use an approach called map-view mapping for camera calibration and present a fusion strategy to fuse multi-camera tracking data. The experiment verified the performance of the fusion method, and showed this method can effectively eliminate occlusion in overlapping region and integrate all the events from multiple cameras in the ground plane.

Published in:

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Date of Conference:

17-19 Oct. 2009