Study on Detection of Human Motion Using a RGB Color Space Shadow Method with Mechanics Properties

Bao Dong Yan; Ying Yu

doi:10.4028/www.scientific.net/AMR.703.304

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 703Study on Detection of Human Motion Using a RGB...

Study on Detection of Human Motion Using a RGB Color Space Shadow Method with Mechanics Properties

Abstract:

The aim of human mechanics is to reveal the mechanics properties of human motion. Especially, the purpose of human motion detection is detecting the moving people from continuous image sequences, extracting human body segments and then getting motion feature. The paper presents a shadow detection algorithm based on covariance difference operator based RGB color space and discusses its mechanics properties. The presented algorithm includes four steps: object detection, suspected shadow detection, shadow detection and post processing. The presented algorithm of adaptive shadow detection threshold is adopted to suppress the effect of shadow in moving object detection more effectively. The experiment results show the algorithm presented in this paper can detect shadow effectively.

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Periodical:

Advanced Materials Research (Volume 703)

Pages:

304-307

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.703.304

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Online since:

June 2013

Authors:

Bao Dong Yan, Ying Yu

Keywords:

Human Motion, Mechanical Property, RGB Color Space Technology, Shadow Detection

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