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General Information

Prof. Pascal Lorenz
University of Haute Alsace, France
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2014 Vol.3(2): 113-118 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2014.V3.280

An Adaptive Cast Shadow Detection with Combined Texture and Color Models

Peiwen Liu and Yuesheng Zhu
Abstract—Cast shadows of moving foreground objects can cause miss tracking problem in object detection and tracking, thus shadow detection is an important step used after a moving foreground object is detected. Most of current methods have a significant trade-off between the shadow detection rate and the shadow discrimination rate. In this paper, an effective and adaptive method with combined texture and color models is proposed in order to achieve good shadow detection rate and shadow discrimination rate as well. Firstly, Scale Invariant Local Ternary Pattern (SILTP) is used to select a candidate shadow region. Then HSV color model is employed to detect a new candidate shadow region by using maximum likelihood estimation (MLE) to estimate the thresholds of HSV color model adaptively. Finally the two regions are combined by logical operation and a new shadow region can be obtained. Our experimental results show that the proposed method achieves a better performance in both shadow detection rate and discrimination rate compared to the other current methods. Moreover, the proposed method runs at 100 frames per second and is suitable for the real-time detection and tracking.

Index Terms—Shadow detection, SILTP, HSV color space, adaptive thresholds.

The authors are with the Communication & Information Security Lab, Shenzhen Graduate School, Peking University, China (e-mail: zhuys@pkusz.edu.cn).


Cite:Peiwen Liu and Yuesheng Zhu, "An Adaptive Cast Shadow Detection with Combined Texture and Color Models," International Journal of Future Computer and Communication vol. 3, no. 2, pp. 113-118, 2014.

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