DocumentCode :
518040
Title :
Cooperative detection based on auto-evaluation about multi-source image
Author :
Xi, Runping ; Zhang, Yanning ; Yang, Gen ; Tong, Xiaomin
Author_Institution :
Coll. of Comput. Sci., Northwest Polytech. Univ., Xi´´an, China
Volume :
2
fYear :
2010
fDate :
16-18 April 2010
Abstract :
A cooperative drive vector in the paper is proposed on the basis of the three evaluation factors of the target detection, which are area inertia, number inertia and neighborhood similarity. The cooperative detection is performed through the auto-evaluation of target detection results about the cooperative drive vector. The experiments show that the method of automatic evaluation of detection result is effective.
Keywords :
image processing; object detection; area inertia; auto-evaluation; cooperative detection; cooperative drive vector; multisource image; neighborhood similarity; number inertia; target detection; Computer science; Detection algorithms; Drives; Educational institutions; Feedback; Flowcharts; Image registration; Infrared detectors; Object detection; Surveillance; Multi-source Image; auto-evaluation; cooperative detection; feedback;
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.2010.5485496
Filename :
5485496
Link To Document :
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