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《Journal of Zhejiang University(Engineering Science)》 2014-12
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Object compressive tracking based on adaptive multi-feature appearance model

LU Wei;XIANG Zhi-yu;YU Hai-bin;LIU Ji-lin;Department of Information Science and Electronic Engineering,Zhejiang University;Zhejiang Provincial Key Laboratory of Information Network Technology;School of Electronic and Information,Hangzhou Dianzi University;  
An adaptive multi-feature modelling method was proposed to resolve the problems of simple feature and inflexible modelling existed in the appearance model of compressive tracking.This method makes the visual representation more abundant and comprehensive through fusing intensity with the Surftype feature which has strong power to describe the detail information like gradient and edge.A two-stage measurement matrix is constructed to measure the multi-dimension features.The Hellinger distance between a feature's distributions of positive and negative samples is computed to analyze the feature's ability of discriminating the object from background.The weights of features in the statistical model can be adjusted adaptively to help the model efficiently explore information that is useful for object tracking,and update according to the changes of object and background.Experimental results show that this adaptive multi-feature modelling method can describe the complex changes of object and background in the real world more accurately,and greatly improve the tracking algorithm's robustness and precision,while holding the high efficiency.
【Fund】: 国家自然科学基金资助项目(61071219 61102132)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 ZHU Qiu-ping,Yan Jia,Zhang Hu,FAN Ci-en,DENG De-xiang (School of Electronic Information,Wuhan University,Wuhan 430079,China);Real-time tracking using multiple features based on compressive sensing[J];光学精密工程;2013-02
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 ZHANG Li-juan;JI feng;CHANG Xia;LI Ze-ren;Northern University for Nationalities,Mathematics and Information Science;;Multi-scale Compression Perception Tracking under Occlusion[J];红外技术;2015-12
2 LI Jiangpeng;IT Department,Guangxi Vocational and Technical College of Finance;;On Mining Enterprise Comprehensive Strength Based on Financial Data under the Big Data Environment[J];柳州师专学报;2015-06
3 YANG Fengrui;LIU Ting;LIU Xiongfeng;Chongqing University of Posts and Telecommunications;Chongqing Chongyou Information Technology ( Group) Co.,Ltd.;;Compressive Tracking Based on Cam Shift Algorithm[J];电视技术;2015-23
4 QI Yingchun;SUN Ting;School of Computer Science and Technology,Zhoukou Normal University;Institute of Visualization Technology,Northwest University;;Dimensionality Reduction for Image Feature Based on FPCA and ReliefF Algorithms[J];吉林大学学报(理学版);2015-05
5 GUO Jin-yu;YUAN Tang-ming;LI Yuan;College of Information Engineering,Shenyang University of Chemical Technology;;Fault Detection Method Based on Multiway Locally Linear Embedding[J];小型微型计算机系统;2015-09
6 Liu Wei;Zhao Wenjie;Li Cheng;Department of Aerospace Intelligence, Aviation University.of Air Force;;An Online Learning Visual Tracking Method Based On Compressive Sensing[J];光学学报;2015-09
7 QIAN Kai;CHEN Xiu-hong;SUN Bai-wei;School of Digital Media,Jiangnan University;;Fast Compressive Tracking Algorithm Using Similar Strategy of Three Step Search[J];小型微型计算机系统;2015-08
8 Zhou Jingdong;Li Minhui;Zhou Minggang;Huang Yunpeng;Wang Yanqing;Research and Design Institute of Agricultural Mechanical Engineering,Hubei University of Technology;;Color sorting algorithm for camellia oleosa seed recognition based on fuzzy c-means clustering[J];中国农机化学报;2015-04
9 GAO Yi-peng;ZHENG Bin;ZENG Xian-hua;School of Computer Science and Technology,Chongqing University of Posts and Telecommunications;Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences;;Real-time object tracking via online RGB-D multiple instance learning[J];计算机工程与设计;2015-07
10 WU Xiao-yu;WU Ling-lin;YANG Lei;School of Information Engineering,Communication University of China;;Particle filtering tracking based on compressive sensing[J];系统工程与电子技术;2015-11
【Secondary Citations】
Chinese Journal Full-text Database 2 Hits
1 YAN Jia*,WU Min-yuan(School of Electronic Information,Wuhan University,Wuhan 430079,China);On-line boosting based target tracking under occlusion[J];光学精密工程;2012-02
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