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Proceedings Paper

Moving shadow detection using two PTZ cameras
Author(s): Zhigao Cui; Yanzhao Su; Zhenqiang Bao; Jinming Zhang
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Paper Abstract

The research of traditional shadow detection is mainly based on the stationary camera. As the dual PTZ camera system can obtain both the multi-view and multi-resolution information, it has received more and more attention in real surveillance applications. However, few works about shadow detection and removal with such system were found in literature. In this paper, we propose a novel framework to automatically detect and remove shadow regions in real surveillance scenes from dual-PTZ-camera system. Our method consists of two stages. (1) In the first stage, the initial shadow regions are detected by comparing the similarities of pixel gray between two camera images after the homography transformation. We have demonstrated that the corresponding shadow points on a reference plane are related by a time-variant homography constraint as the camera parameters changing. (2) In the second stage, the detection of shadow region is treated as a superpixel classification problem, the predicted shadow candidates in the first stage are fed to a statistical model based on multi-feature fusion. We prove the effectiveness of the proposed shadow detection method by incorporating it with a dual-PTZ camera tracking system.

Paper Details

Date Published: 29 October 2018
PDF: 7 pages
Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083615 (29 October 2018); doi: 10.1117/12.2514211
Show Author Affiliations
Zhigao Cui, Xi'an Institute of High Technology (China)
Yanzhao Su, Xi'an Institute of High Technology (China)
Zhenqiang Bao, Xi'an Institute of High Technology (China)
Jinming Zhang, Xi'an Institute of High Technology (China)

Published in SPIE Proceedings Vol. 10836:
2018 International Conference on Image and Video Processing, and Artificial Intelligence
Ruidan Su, Editor(s)

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