A Coupled Visual Representation based on Local Patch and Context for Single Target Tracking

摘要：

　　Visual representation has an important influence on tracking performance.Unfortunately,most of the existing methods construct the visual representation only focus on the global target information, which ignored the information of the internal structure and the background of the target.To improve the accuracy of visual representation, a novel approach via local parts and context jointly is proposed in this paper.First, the target is decomposed into multiple independent patches based on the spatial structure, and each patch learns the filtering response separately.Second, the contextual information is introduced into the representation framework to migrate the background influences.With the introduction of collaborative representation strategy, the impact of background noise can be effectively suppressed.By conduct extensive experiments on several challenging benchmark datasets, the proposed approach demonstrates comparable performance against several state-of-the-art methods.

关键词： Visual Tracking Visual Representation Contextual Information

作者: Xu Keying Shu Ping Bao Hua

作者单位: School of Electrical Engineering and Automation,Anhui University,Anhui, Hefei,230601

会议类型: 国内会议

会议名称: 第20届中国系统仿真技术及其应用学术年会(20th CCSSTA 2019)

会议地点: 合肥

会议语种:英文

页码: 601-605

在线出版日期: 2019-08-01（万方平台首次上网日期，不代表论文的发表时间）