Video inpainting of objects using modified Patch based technique

An efficient moving object removal using modified exampler based inpainting algorithm is proposed in this paper. In the proposed method, 3D volume of video is converted into 2D slices for maintaining spatial and temporal consistencies. Background subtraction technique is used for object detection and tracking. Then, modified exampler-based image inpainting algorithm is applied to get the improved results. After combination of completed slices, sequences of virtual contours are formed to retrieve the most similar postures among the number of available postures. Key posture selection and indexing are used to minimize the complexity of posture sequence retrieval. Synthetic posture generation method is used to increase the number of posture generation database.

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