Maneuvering Object Tracking under Large-area Occlusive Condition Using Mean Shift Embedded IMM Filter

摘要：

Visual tracking is the act of consistently locating a desired feature in each image of a given input sequence and it is typically complicated by several factors such as noise of sensors, motion in the scene, motion on the part of the observer and realtime constraints. In this paper, a novel visual tracking approach is proposed by jointly using mean shift and IMM, which can effectively deal with the visual tracking problem. The proposed approach can also resolve the target large-area occlusions. Based on the experimental results provided, it can be concluded that our proposed approach is rational and effective.

关键词： Mean shift (MS) IMM Visual Tracking Target Tracking

作者: Peng Xiao Miyi Duan Chongzhao Han Sijia Liu Deqiang Han

作者单位: School of Computer Science & Engineering, Beihang University, Beijing, 100083, China Institute of Integrated Automation, Xian Jiaotong University, Xian, 710049, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 54-58

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）