Title :
Video Moving Object Detection Using Goodness of Fit Testing
Author :
Chunsheng, Guo ; Linli, Chen
Abstract :
A novel method of moving object detection from avideo sequence is proposed. Due to the temporal correlation of background in video sequences, we first formulate moving object detection as a goodness of fit testing problem, and then apply the Kolmogorov test, one of goodness of fit tests, to detect the moving object based on the Gaussian mixture model of background. Experimental results clearly show that the proposed algorithm has outstanding detection accuracy compared with some classical algorithms.
Keywords :
Gaussian mixture model; Goodness of fit testing; Moving object detection;
Conference_Titel :
Multimedia and Signal Processing (CMSP), 2011 International Conference on
Conference_Location :
Guilin, China
Print_ISBN :
978-1-61284-314-8
Electronic_ISBN :
978-1-61284-314-8
DOI :
10.1109/CMSP.2011.112
