DocumentCode
2650589
Title
Multi-model cooperation based self organization multiple cameras system for robust moving object detection
Author
Zhang, Xiuwei ; Zhang, Yanning ; Yang, Tao ; Tong, Xiaomin
Author_Institution
Sch. of Comput. Sci., Northwest Polytech. Univ., Xi´´an, China
Volume
2
fYear
2010
fDate
16-18 April 2010
Abstract
A self-organization multi-model cameras system for robust moving object detection is introduced. The system has three modules: automatic registration, cooperative motion detection and camera parameters change detection. The registration module automatically register visual camera and IR camera based on co-motion statistics. The cooperative motion detection produces precise results bases on cooperative processing mechanism we proposed in. Here registration and detection modules are combined, and detection results are fed back to registration module for detecting the change of camera parameters. By this way, the system can be adaptive to environment change and camera parameter change. We demonstrate the performance of the method on visual/IR synchronous video sequences. Experimental results show that the multi-model camera system carries out precise and robust camera registration and moving object detection.
Keywords
cameras; image motion analysis; object detection; video signal processing; IR camera; IR synchronous video sequences; automatic registration module; camera parameters change detection; comotion statistics; cooperative motion detection; cooperative processing mechanism; multimodel cooperation; robust moving object detection; self organization multiple cameras system; visual camera; Cameras; Computer science; Feature extraction; Image sensors; Motion detection; Object detection; Robustness; Sensor systems; Statistics; Video compression; IR camera; co-motion (concurrent motion); moving object detection; multi-modal camera registration; visual camera;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485501
Filename
5485501
Link To Document