Title :
Background Subtraction in Mobile Cameras by MRF-MAP Based Optical Flows
Author :
Limin Zhu ; Yue Zhou
Author_Institution :
Inst. of Image Process. & Patter Recognition, Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Background subtraction has always been an important field in computer vision since it is generally the first step in video or image processing. It is an even more challenging job when sequences are taken by moving cameras. Unlike static surveillance cameras, the background varies a lot in every frame taken from mobile cameras. In this sense an optical flow based clustering method is proposed. The unique optical flow representing foreground movement is detected. The final output is given after a region growth in a MRF-MAP approach. Our method is evaluated on different datasets to show its effectiveness.
Keywords :
cameras; computer vision; image sequences; MRF MAP based optical flows; background subtraction; computer vision; foreground movement; image processing; mobile cameras; moving cameras; optical flow based clustering method; static surveillance cameras; Cameras; Computer vision; Image motion analysis; Integrated optics; Mobile communication; Optical imaging; Optical sensors; Background subtraction; MRF-MAP; optical flow;
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICIG.2013.40
