Browsing by Author "Liu, Chih-Chun"

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Dynamic CCD camera calibration tor traffic monitoring and vehicle applications
(2007)
Wu, Bing-Fei
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Chen, Wei-Hsin
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Chang, Chai-Wei
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Liu, Chih-Chun
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Chen, Chao-Jung
In this paper, the camera calibration approach based on the perspective model for the tilt angle, pan angle and the height of installation is proposed. Before starting the calibration, the lane information is acquired by applying the Sobel horizontal and vertical edged pixels. The calibration method only utilizes a pair of parallel lane markings without manually selecting special features. The tilt angle, pan angle and camera height are calibrated sequentially in our method. This algorithm can be widely applied in vehicle collision avoidance applications and traffic monitoring systems.
Method for image processing
(2010-06-24)
Wu, Bing-Fei
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Chen, Chao-Jung
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Kao, Chih-Chung
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Chung, Meng-Liang
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Chiu, Chung-Cheng
The invention relates to a method for image processing. First, establish the initial image background information. And retrieve the instant image information. Then calculate the initial image background information and color intensity information of the instant image. Furthermore, adjust the instant image information. Then calculate the moving-object information. Finally, track the moving-object information. It can improve the accuracy rate of detection without the influence of erected height.
Method for tracking and processing image
(2010-06-24)
Wu, Bing-Fei
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Chen, Chao-Jung
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Kao, Chih-Chung
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Chung, Meng-Liang
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Chiu, Chung-Cheng
The invention relates to a method for image processing, which can be used to calibrate the background quickly. When the external environment is changed due to the switch of light, the color of background is calibrated quickly, and the background can be updated together. The method not only is used to update the background, but also can be used to eliminate the convergence of background again.
The Vision-based Vehicle Detection and Incident Detection System in Hsueh-Shan Tunnel
(2008)
Wu, Bing-Fei
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Kao, Chih-Chung
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Liu, Chih-Chun
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Fan, Chung-Jui
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Chen, Chao-Jung
The automatic lane marking detection, vehicle detection and incident detection systems are proposed in this paper. The block-based background extraction that combines statistical algorithm and the moving block information is used to obtain the color background image more exactly. The lane detection algorithm is applied to obtain the lane information from the color background image without the limitation of the camera setting. The presented vehicle detection algorithm is a block-based approach which is widely used in highway systems, urban roadways or tunnels. Different applications adopt the different detection zones where the vehicles will be tracked and identified in. The presented incident detection algorithm focuses on the car stopped, vehicle lane changing, and congestion condition, and the experimental results in Hsueh-Shan tunnel are addressed, which also demonstrate the stability and the effectiveness of the proposed methods.