Title :
Tracking based depth-guided video inpainting
Author :
Hatheele, Saroj ; Zaveri, Mukesh A.
Author_Institution :
Comput. Eng. Dept., SVNIT, Surat, India
Abstract :
In this paper, we propose a novel technique of tracking based video inpainting using depth information. Depth information obtained from the structure of motion is refined by extended proposed voting based algorithm. The refined depth map is used to extract moving foreground object from tracked moving object then replaces it into other video frame using integrated color and depth information based video inpainting. We compared the color based video inpainting with integrated color and depth information based video inpainting. Our proposed method acquaints special effect by including tracking and depth information to video inpainting. Inclusion of depth information increases the quality of inpainted video. Finally, we present experimental results of depth refinement and video inpainting for molecular video sequences captured with static camera with moving objects.
Keywords :
feature extraction; image capture; image colour analysis; image motion analysis; image sequences; mean square error methods; object tracking; depth information based video inpainting; foreground object extraction; integrated color based video inpainting; molecular video sequences; moving object tracking; moving objects; static camera; tracking based depth-guided video inpainting; video motion structure; voting based algorithm; Cameras; Color; Colored noise; Image color analysis; Kalman filters; Object tracking; Video sequences; Depth map; Tracking; Video inpainting;
Conference_Titel :
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
Conference_Location :
Jodhpur
Print_ISBN :
978-1-4799-1586-6
DOI :
10.1109/NCVPRIPG.2013.6776217