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The method of positioning moving human based on shape complexity

Positioning moving human in the video sequence of complicated environmental conditions is still a challenging task in computer vision at present, which not only needs to efficiently eliminate varieties of background interferences, but also satisfies real time request in application as well. The shap...

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Main Authors:	Xin Zhang, Haijiao Jiang, Bing Wang, Jinxing Zhang
Format:	Conference Proceeding
Language:	English
Subjects:	Bicycles Complexity theory Image color analysis Improved frame difference method Mathematical morphology Morphological operations Positioning moving human Shape Shape complexity Skin Video sequences
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creator	Xin Zhang Haijiao Jiang Bing Wang Jinxing Zhang
description	Positioning moving human in the video sequence of complicated environmental conditions is still a challenging task in computer vision at present, which not only needs to efficiently eliminate varieties of background interferences, but also satisfies real time request in application as well. The shape complexity is applied to position moving human in this paper. Firstly, we adopt the improved frame difference method to extract the moving regions from the video sequence. Secondly, we process the moving regions with the mathematical morphology. Finally, with the shape complexity and the width-height ratio, we can analyze the moving regions and determine whether the regions are moving human body. The experimental results show that the proposed method is feasible in positioning moving human and reduces the phenomenon of omissive detection and error detection efficiently.
doi_str_mv	10.1109/ICCT.2013.6820414
format	conference_proceeding
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The experimental results show that the proposed method is feasible in positioning moving human and reduces the phenomenon of omissive detection and error detection efficiently.</description><subject>Bicycles</subject><subject>Complexity theory</subject><subject>Image color analysis</subject><subject>Improved frame difference method</subject><subject>Mathematical morphology</subject><subject>Morphological operations</subject><subject>Positioning moving human</subject><subject>Shape</subject><subject>Shape complexity</subject><subject>Skin</subject><subject>Video sequences</subject><isbn>9781479900770</isbn><isbn>147990077X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2013</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tKxDAUQONCUMZ-gLjJD0y9yU2aZqcUHwMDs6nrIWlvbGTalEkV5-9VnNXZHA4cxm4FlEKAvd80TVtKEFhWtQQl1AUrrKmFMtYCGANXrMj5AwCEMQKUvmYP7UB8pGVIPU-BzynHJaYpTu98TF9_GD5HN3HvMv0aE8-Dm4l3aZwP9B2X0w27DO6QqThzxd6en9rmdb3dvWyax-06ConLuhJeo_E6yEAY0GrppdQBhQZZ-56od52sAmm0VCsMglRA8J1F2WNdO1yxu_9uJKL9fIyjO57250_8AY5cSHw</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Xin Zhang</creator><creator>Haijiao Jiang</creator><creator>Bing Wang</creator><creator>Jinxing Zhang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20131101</creationdate><title>The method of positioning moving human based on shape complexity</title><author>Xin Zhang ; Haijiao Jiang ; Bing Wang ; Jinxing Zhang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i123t-61b537b5f2fe3f3952b225f315028bdeedac26fe539e843f1e4f30bc932d388a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Bicycles</topic><topic>Complexity theory</topic><topic>Image color analysis</topic><topic>Improved frame difference method</topic><topic>Mathematical morphology</topic><topic>Morphological operations</topic><topic>Positioning moving human</topic><topic>Shape</topic><topic>Shape complexity</topic><topic>Skin</topic><topic>Video sequences</topic><toplevel>online_resources</toplevel><creatorcontrib>Xin Zhang</creatorcontrib><creatorcontrib>Haijiao Jiang</creatorcontrib><creatorcontrib>Bing Wang</creatorcontrib><creatorcontrib>Jinxing Zhang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEL</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xin Zhang</au><au>Haijiao Jiang</au><au>Bing Wang</au><au>Jinxing Zhang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>The method of positioning moving human based on shape complexity</atitle><btitle>2013 15th IEEE International Conference on Communication Technology</btitle><stitle>ICCT</stitle><date>2013-11-01</date><risdate>2013</risdate><spage>429</spage><epage>432</epage><pages>429-432</pages><eisbn>9781479900770</eisbn><eisbn>147990077X</eisbn><abstract>Positioning moving human in the video sequence of complicated environmental conditions is still a challenging task in computer vision at present, which not only needs to efficiently eliminate varieties of background interferences, but also satisfies real time request in application as well. 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identifier	EISBN: 9781479900770
ispartof	2013 15th IEEE International Conference on Communication Technology, 2013, p.429-432
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Bicycles Complexity theory Image color analysis Improved frame difference method Mathematical morphology Morphological operations Positioning moving human Shape Shape complexity Skin Video sequences
title	The method of positioning moving human based on shape complexity
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