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A New Hybrid Synthetic Aperture Imaging Model for Tracking and Seeing People Through Occlusion
文献类型:期刊
作者:Yang, Tao[1]  Zhang, Yanning[2]  Tong, Xiaomin[3]  Zhang, Xiaoqiang[4]  Yu, Rui[5]  
机构:[1]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
[2]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
[3]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
[4]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
[5]Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China
通讯作者:Yang, T (reprint author), Northwestern Polytech Univ, Sch Comp Sci, Shaanxi Prov Key Lab Speech & Image Informat Proc, Xian 710129, Peoples R China.
年:2013
期刊名称:IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY影响因子和分区
卷:23
期:9
页码范围:1461-1475
增刊:正刊
学科:工程学
收录情况:SCI(E)(WOS:000324254500001)  EI(20133816754293)  
所属部门:计算机学院
被引频次:5
人气指数:1888
浏览次数:1856
关键词:Camera array; hybrid synthetic aperture imaging; multiple people tracking; occlusion handling
摘要:
Robust detection and tracking of multiple people in cluttered and crowded scenes with severe occlusion is a significant challenge for many computer vision applications. In this paper, we present a novel hybrid synthetic aperture imaging model to solve this problem. The main characteristics of this approach are as follows. 1) To the best of our knowledge, this is the first attempt to solve the occluded people imaging and tracking problem in a joint multiple camera synthetic aperture imaging domai ...More
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