Paper
29 October 2018 Moving shadow detection using two PTZ cameras
Zhigao Cui, Yanzhao Su, Zhenqiang Bao, Jinming Zhang
Author Affiliations +
Proceedings Volume 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence; 1083615 (2018) https://doi.org/10.1117/12.2514211
Event: 2018 International Conference on Image, Video Processing and Artificial Intelligence, 2018, Shanghai, China
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhigao Cui, Yanzhao Su, Zhenqiang Bao, and Jinming Zhang "Moving shadow detection using two PTZ cameras", Proc. SPIE 10836, 2018 International Conference on Image and Video Processing, and Artificial Intelligence, 1083615 (29 October 2018); https://doi.org/10.1117/12.2514211
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KEYWORDS
Cameras

Surveillance

Image segmentation

Statistical analysis

Calibration

Imaging systems

Zoom lenses

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