Title :
Indoor video moving objects detection based on the independent component analysis with reference
Author :
Chunsheng, Guo ; Ming, ZHU
Author_Institution :
Coll. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
Moving objects and static background are independent in video scene. But due to the same environment and video cameras, moving objects and static background in video frames are relevant. So based on the correlation between the moving objects and static background, a reference image of moving objects is constructed. And this reference image is used in the algorithm of video moving objects detection based on the independent component analysis to improve the performance. Experimental results show that the proposed algorithm has good quantitative detection performance and high efficiency of training and detection in indoor scene of dramatic changes of illumination.
Keywords :
image motion analysis; image sequences; independent component analysis; object detection; video signal processing; ICA; independent component analysis; indoor video moving object detection; reference image; static background; video camera; video frame; video scene; Algorithm design and analysis; Correlation; Independent component analysis; Lighting; Object detection; Pixel; Training; Independent Component Analysis (ICA); Moving Objects Detection; Video Separation;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646276