Title :
Interactive rotoscoping: Extracting and tracking object sketch
Author :
Lv, Han ; Lin, Liang ; Zeng, Kun ; Sang, Nong
Author_Institution :
Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this paper, we discuss an integrated system for video rotoscoping extracting and tracking object sketch (structural shape) across video sequence. This system consists of two key components: object sketch computing and graph-based object tracking. Given a video clip, we first use a primal sketch algorithm to search bottom-up sketch proposals and additively pursue sketch strokes in each frame. User is allowed to edit the sketch in the beginning frame, such as adding strokes and removing the cluttered edges, and the refined sketch is saved as the template. A graph-based tracking method is then proposed for sequentially matching the template to following frames, and the template is kept update by geometric transformation. Once the matching is unsatisfied at one frame, the system is allowed the user interaction for correction. In the experiments, we apply this system on several videos and present the performance evaluation with comparison.
Keywords :
computer aided instruction; computer animation; image motion analysis; geometric transformation; graph-based object tracking; interactive rotoscoping; object sketch computing; object sketch extracting; object sketch tracking; sketch algorithm; video rotoscoping extracting; Active shape model; Animation; Brightness; Computer vision; Image processing; Image sequences; Proposals; Statistics; Structural shapes; Video sequences; Graph matching; Object tracking; Primal sketch; Rotoscoping;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5414261