A visual tracking method based on global constrained Hough model

被引：0

作者：

He, Wenhua ^{[1
]}

Liu, Zhijing ^{[1
]}

Qu, Jianming ^{[1
]}

机构：

[1] School of Computer Science and Technology, Xidian University, Xi'an

来源：

Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University | 2014年 / 48卷 / 12期

关键词：

Hough transform; Local feature; Segmentation; Visual tracking;

D O I：

10.7652/xjtuxb201412011

中图分类号：

学科分类号：

摘要：

A visual tracking method is proposed to solve the problem that the local feature model is prone to be influenced by the deformation and feature mismatch and leads to drifting. The method constrains the Hough local model by using global features. The Hough model is constructed with a set of local features of an object and estimates the stability of each local feature based on the generalized Hough Transform. Then, the model is updated flexibly through modifying the local feature set to adapt to the object appearance variations. Color cues of the local features are used to calculate the global color probability of being foreground or background. Then the global probability is used to adjust the tracking results and constrains the local features of the model in return. Experimental results on several public video sequences show the robustness of the proposed method in tracking objects with deformation and partial occlusion. ©, Xi'an Jiaotong University. All right reserved.

引用

页码：69 / 73and86

页数：7317

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