Object Tracking Model Based on Fusing Multiple Weighted Distribution Field Features
LUO Huilan1, SHAN Shunyong1, KONG Fansheng2
1.School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000 2.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027
Abstract：Object tracking is difficult to be implemented by using single feature. Histogram is simple and convenient to describe the image features. However, the spatial information of the features can not be expressed by the statistical histograms, and the distribution field descriptors can reflect the spatial information of the features. Based on their advantages, an object tracking algorithm is proposed by fusing gray value features, texture features and edge features. Three kinds of features are combined through distribution field descriptors to form joint representations. And the distribution layers of dense distribution field features are multiplied by the corresponding weights to construct an efficient target model. An adaptive object model updating scheme is used to update the target model and adapt to varietiesof the background and the illumination. The experimental results on commonly used testing video sequences show that the proposed algorithm generates better performance in complicated situations, such as pose change, rotation, occlusion and illumination changes and it has stronger robustness.
作者简介: 罗会兰(通讯作者)，女，1974年生，博士，教授，主要研究方向为器学习、模式识别.E-mail:luohuilan@sina.com. (LUO Huilan (Corresponding author)， born in 1974， Ph.D.， professor. Her research interests include machine learning and pattern recognition.) 单顺勇，男，1990年生，硕士研究生，主要研究方向为目标跟踪.E-mail:ssy3773900@126.com. (SHAN Shunyong， born in 1990， master student. His research interests include object tracking.) 孔繁胜，男，1946年生，硕士，教授，主要研究方向为人工智能、知识发现.E-mail:kfs@zju.edu.cn. (KONG Fansheng， born in 1946， master， professor. His research interests include artificial intelligence and knowledge discovery.)
引用本文:
罗会兰，单顺勇，孔繁胜. 融合多特征的加权分布跟踪*[J]. 模式识别与人工智能, 2016, 29(2): 131-142.
LUO Huilan, SHAN Shunyong, KONG Fansheng. Object Tracking Model Based on Fusing Multiple Weighted Distribution Field Features. , 2016, 29(2): 131-142.
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2016, Vol. 29 
