Abstract
In recent days, the automatic extraction of salient object regions from video data is the most significant for visual analytical solutions. It also brings up more challenges, including pose differences amongst background and foreground objects, motion patterns etc. In this project, a framework of co-segmentation is presented in order to discover or segment the objects in a joint fashion from multiple videos and frames. Feature extraction is one of the main steps in object detection. For this feature extraction, Here introduce a speed up Robust features (SURF) flow descriptor to integrate the object features from the video frames in an optical manner. This novel SURF flow can extract foreground object over the complete video dataset.
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