Parametric vehicle recognition using knowledge acquisition system
Parametric vehicle recognition using knowledge acquisition system
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DOI：
10.1109/icsmc.2004.1400967
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发表时间：
2004-10
期刊：
影响因子：
--
通讯作者：
Hiroki Maemoto;Yoshikazu Okuma;S. Yano
中科院分区：
文献类型：
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作者：
Hiroki Maemoto;Yoshikazu Okuma;S. Yano
本研究的重点是使用知识获取系统识别车辆的技术。知识获取系统由表示从后方观看的汽车图像的对象识别模块（例如车窗、尾灯等）组成，该知识系统通过检测每个对象来识别汽车。所提出的系统具有修改自身的能力，以适应输入图像的拍摄条件。Sharpness用作拍摄条件的参数。识别模块由目标图像的合并数据训练。随着清晰度的引入，知识系统在各种状况图像中识别车辆。
This research focuses on a technique to recognize vehicles using the knowledge acquisition system. The knowledge acquisition system consists of object recognition modules which represent a car image viewed form the rear, such as a window, tail lights, and so on. This knowledge system recognizes a car by detecting each object. The proposed system has an ability to modify itself in order to adapt to the shot condition of the input image. Sharpness is used as the parameter of the shot condition. The recognition modules are trained by merged data of the object image. As the sharpness is introduced, the knowledge system recognizes the vehicle in various condition images.