Segmenting Simply Connected Moving Objects in a Static Scene
IEEE Transactions on Pattern Analysis and Machine Intelligence
Background Modeling for Segmentation of Video-Rate Stereo Sequences
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Automatic segmentation of moving objects for video object plane generation
IEEE Transactions on Circuits and Systems for Video Technology
Differential video coding of face and gesture events in presentation videos
Computer Vision and Image Understanding - Special issue on event detection in video
Robust real-time tracking of non-rigid objects
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Registering long-term image series
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
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The MPEG-4 video coding standard consists of object based coding schemes for multimedia and enables content based functionalities. Video objects in still pictures or video sequences should be first identified before the encoding process starts. An algorithm based on information fusion, which can be used for the extraction of foreground objects in video streams in real time is proposed in this paper. The method efficiently integrates image and motion information of video streams. The thresholding technique operated in the HSV space provides a better use of the color information than that in the traditional RGB space. Using enhanced boundary extracted from the motion region for contour adaptation offers an original method to refine the contour.