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A robust moving object detection approach

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Change detection is one of the most important research issues in the field of video processing. This paper presents an adaptive method of objects and shadows detection in video streams based on the HSI color space. Bi-models of background is set up via the minimum, the maximum and the largest interframe absolute difference of per static pixel, which are adaptively updated by synthesizing pixel level, object level and frame level method. In addition, motion region are built by three-level region chain structure to deal with the errors' detection results. Finally, we remove cast shadows using the generic properties of luminance, chrominance and gradient density in HSI color space. Experimental results and their evaluation verify the effectiveness and the robustness of the proposed approach. © 2008 IEEE.
Original languageEnglish
Title of host publicationProceedings - 1st International Congress on Image and Signal Processing, CISP 2008
Pages145-149
Volume4
DOIs
Publication statusPublished - 2008
Event1st International Congress on Image and Signal Processing, CISP 2008 - Sanya, Hainan, China
Duration: 27 May 200830 May 2008

Publication series

Name
Volume4

Conference

Conference1st International Congress on Image and Signal Processing, CISP 2008
PlaceChina
CitySanya, Hainan
Period27/05/0830/05/08

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