Title :
VSnakes with local affine deformations
Author :
Sun, Shijun ; Haynor, David R. ; Kim, Yongmin
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
Abstract :
An algorithm is introduced for video object tracking and segmentation that automatically detects local deformations of a video object and adjusts the object contour to match the real object boundary without breaking the object into several pieces during tracking. An edge energy change ratio is defined for local deformation detection. The corresponding contour segment is then adjusted to the real object boundary based on a local affine correction. Incorporating this method into VSnakes, our general algorithm for video object tracking, resulted in improved performance.
Keywords :
edge detection; image segmentation; tracking; video signal processing; VSnakes; contour segment; edge energy change ratio; local affine correction; local deformations; object boundary; object contour; segmentation; video object tracking; Active contours; Biomedical engineering; Change detection algorithms; Image segmentation; Laboratories; Object detection; Object segmentation; Radiology; Sun; Video sequences;
Conference_Titel :
Image Processing. 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7622-6
DOI :
10.1109/ICIP.2002.1040057