This paper presents an automatic algorithm for segmenting and extracting moving objects suitable for indoor and outdoor video applications, where the background scene can be captured beforehand. Since edge detection is often used to extract accurate boundaries of the image's objects, the first step in our algorithm is accomplished by combining two edge maps that are detected from the frames difference and background subtraction. After removing edge points that belong to the background, the resulting moving edge map is fed to the object extraction step. A fundamental task in this step is to declare the candidates of the moving object, followed by applying morphological operations. The algorithm is implemented on different kinds of video sequences and good segmentation results are achieved.
Moving object segmentation from video sequences: an edge approach
2003-01-01
354612 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Moving Object Segmentation from Video Sequences: An Edge Approach
British Library Conference Proceedings | 2003
|Moving object segmentation in video sequences by user interaction and automatic object tracking
British Library Online Contents | 2001
|Video-object segmentation and 3D-trajectory estimation for monocular video sequences
British Library Online Contents | 2011
|Efficient Object Segmentation Using Digital Matting for MPEG Video Sequences
Springer Verlag | 2006
|Efficient Object Segmentation Using Digital Matting for MPEG Video Sequences
British Library Conference Proceedings | 2006
|