A novel Sacle Feature Applied for Scale Adaptation

摘要：

　　Scale variation significantly affects the result during human tracking, especially in crowded scenes.This paper proposes a novel scale adaptive algorithm which is mainly based on the original Kanada-Lucas-Tomasi(KLT)-based features.We apply KLT algorithm for feature detection in target to get the size information.This original feature is not sensitive to environment so it is suitable to solve the scale change problem in crowded senses.Depending on the stable scale feature, our method can obviously improve tracking performance and help handle drift and occlusion issues.Experimental results on famous datasets prove that our method has a good accuracy and robustness on scale change, occlusion and drift.

关键词： tracking scale adaptation scale feature

作者: ZHANG Chen-yuan ZHAO Yu-ming

作者单位: Shanghai Jiao Tong University, No 800 DongChuan Road, Shanghai, 200240,PR China

会议类型: 国内会议

会议名称: 2013中国自动化学会华东六省一市年会(CETCU 2013)

会议地点: 威海

会议语种:英文

页码: 6-9

在线出版日期: 2013-10-11（万方平台首次上网日期，不代表论文的发表时间）