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Proceedings Paper

Improving moving cast shadows suppression in traffic image sequences
Author(s): Lei Xie; Guangxi Zhu; Miao Tang; Haixiang Xu; Zhenming Zang
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Paper Abstract

In recent years, video-based Intelligent Transportation Systems (ITS) have been of major importance for enforcing traffic management policies. Detection and tracking of moving vehicle is at the core of many applications dealing with traffic image sequences. For an accurate scene analysis in monocular image sequences, a robust segmentation of moving object from the static background is generally required. However, one of the main challenges in these applications is moving cast shadows, which often interfere with fundamental tasks such as object extraction and description. For this reason, shadow segmentation is an important step in image analysis. We propose a real-time and effective method for detecting vehicles from a sequence of traffic images taken by a single roadside mounted camera. The proposed algorithm includes three stages: first, extract moving object region and background region from the current input image, second, by adopting the various characteristics of shadow in luminance, chrominance, and gradient density, segment moving cast shadow region which is often caused by moving vehicle and, at last, Sobel edge detector is employed to detect edge pixels of the moving cast shadow in order to suppress all shadow pixels in the detected region. The proposed method has been tested on a number of typical monocular traffic-image sequences and the experimental results on the real-world videos show that the algorithm can effectively detect the associated moving cast shadow from the interested object.

Paper Details

Date Published: 4 November 2005
PDF: 8 pages
Proc. SPIE 6044, MIPPR 2005: Image Analysis Techniques, 604411 (4 November 2005); doi: 10.1117/12.655077
Show Author Affiliations
Lei Xie, Huazhong Univ. of Science and Technology (China)
Guangxi Zhu, Huazhong Univ. of Science and Technology (China)
Miao Tang, Huazhong Univ. of Science and Technology (China)
Haixiang Xu, Huazhong Univ. of Science and Technology (China)
Zhenming Zang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6044:
MIPPR 2005: Image Analysis Techniques
Deren Li; Hongchao Ma, Editor(s)

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