抽象的な

Saliency Based Video Object Recognition in Single Concept Video

Raihanath A.S , Chithra Rani P R

This paper presents a saliency based video object extraction and recognition framework. The extraction framework automatically extract foreground object of interest without any use of training data. The recognition system uses list of training data beforehand. For extracting the foreground object from a video, it uses visual and motion saliency features .A conditional random field is used to effectively combine the saliency induces features. Our proposed method is able to preserve spatial continuity and temporal consistency. Experiments results on variety video shows that our proposed system provides qualitatively satisfactory video object extraction (VOE) results.