Histograms represented multi-cue integration based visual tracking
Visual tracking is a hot issue in computer vision, and visual target modeling plays an important role in the robustness and effectiveness of tracking system. In order to adapt targets observation to the complex tracking environment, this paper proposed a multi-cue integration method, which extracts color, edge, and texture features using histogram method, and integrates them adaptively. By making use of the geometrical and rotation invariance characteristic of histogram, the proposed method shows robustness to variant tracking environments. Experiments on variable videos demonstrate the effectiveness of the proposed method.
Artificial Intelligence Computer Vision Visual Tracking Histogram Multi-cue
Longkui Jiang Hui Yan Hui Yan
Department of Information Engineering Jilin Business and Technology College Changchun, Jilin Provinc School of Biological and Agricultural Engineering Jilin University Changchun, Jilin Province, China
国际会议
长春
英文
239-242
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）