| Title |
A Segmentation Method for a Moving Object on A Static Complex Background Scene. |
| Authors |
박상민(Park, Sang-Min) ; 권희웅(Kwon, Hui-Ung) ; 김동성(Kim, Dong-Sung) ; 정규식(Jeong, Kyu-Sik) |
| Keywords |
차영상 Segmentation ; Active Contour ; Sequence images |
| Abstract |
Moving Object segmentation extracts an interested moving object on a consecutive image frames, and has been used for factory automation, autonomous navigation, video surveillance, and VOP(Video Object Plane) detection in a MPEG-4 method. This paper proposes new segmentation method using difference images are calculated with three consecutive input image frames, and used to calculate both coarse object area(AI) and it's movement area(OI). An AI is extracted by removing background using background area projection(BAP). Missing parts in the AI is recovered with help of the OI. Boundary information of the OI confines missing parts of the object and gives inital curves for active contour optimization. The optimized contours in addition to the AI make the boundaries of the moving object. Experimental results of a fast moving object on a complex background scene are included. |