National Yang Ming Chiao Tung University

National Defense University

Chung-Cheng Chiu

Meng-Liang Chung

Min-Yu Ku

Chao-Jung Chen

Bing-Fei Wu

Chih-Chung Kao

Wen-Chung Chen

Chih-Chun Liu

Cheng-Yen Yang

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.

Method for tracking and processing image

The invention discloses the asynchronous photography for dual camera apparatus and processing the method for real-time forward vehicle detection. Image is captured by a pair of monochrome camera and stored into a computer. After the video pre-process, the edge information is used to locate the forward vehicle position, and then obtained the disparity from a fast comparison search algorithm by the stereo vision methodology. Proposed algorithm calculation of the invention can conquer the asynchronous exposure problem from dual camera and lower the hardware cost.

Asynchronous photography automobile-detecting apparatus

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.

Tracking vehicle method by using image processing

According to an apparatus and method for detecting an obstacle through stereovision, an image capturing module comprises a plurality of cameras and is used for capturing a plurality of images; an image processing module edge-detecting the image to generate a plurality of edge objects and object information corresponding to each edge object; an object detection module matches a focus and a horizontal spacing interval of the camera according to the object information to generate a relative object distance corresponding to each edge object; a group module compares the relative object distance with a threshold distance and groups the edge objects with the relative object distance smaller than the threshold distance to be an obstacle and obtains a relative obstacle distance corresponding to the obstacle.

Growing community of inventors

Taoyuan County, Taiwan

Chung-Cheng Chiu