Tracking Static Local Kernels within Image Frames
We describe an active contour based local energy minimization point distribution, behavior of orientation, relaxation iterative algorithm that estimates feature points of static target in image sequence. In our approach, we build a contour model of a target to get some of low-energy points kernels. The use of snake based line mode) results in more reliable convergence of the point local energy minimization. The algorithm uses auto-relation relation to give the behavior of orientation in a local kernels window. It uses local window-based probability method to refine the current corresponding relations of scene kernels. Results are illustrated on real outdoor image sequence.
Image Snake Interest Points Relaxation Iterative
Xin Wang Jin Wang
School of Railway Power and Electrical Engineering Nanjing Railway Institute of Technology Nanjing, Textile Costumes College Hebei University of Science and Technology Shijiazhuang, China
国际会议
成都
英文
136-140
2010-07-07（万方平台首次上网日期，不代表论文的发表时间）