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Research on Recognition of Vehicles with Complicated Background Noise

Author: LiuZuo
Tutor: ShiRui
School: Chongqing University
Course: Computer Software and Theory
Keywords: Contour Model contour Locate Template matching Vehicle Recognition
CLC: TP391.41
Type: Master's thesis
Year: 2008
Downloads: 182
Quote: 1
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Abstract


Today, the rapid development of technology, computer technology, electronics, information, communications, and automation is generally applied to various fields, including road traffic management. In order to solve the problem of road traffic management, road and bridge toll station automatically charges, countries around the world look to invest in research and development of the transportation system. \Some more mature system, and many have been put into use, but there are some limitations of these systems, some system is operating in a semi-artificial semi-automatic case. Choosing this topic is raised in a research context. Studying automotive images filmed from the car toll station found for models to identify the car the picture usually with a very complex background noise, which background noise is not possible, such as background subtraction some simple ways to get rid of . Early in the process of this study follow the extracted contour line, a step to find the identification feature information to identify models. In the method of extracting the contour line, it is first applied to a variety of more mature experiment, comparing various methods in the merits of the present research topics, then finally geographical contour lines in principle be applied to the image processing, The ideal model contour, to solve the limitations of the extracted contour lines in a single context. Models contour curves, different models have different slope of the line and angled fitting a straight line, which slope of the differential algorithm for models outline contours straight line fitting. The algorithm classification and recognition for subsequent models provide a useful and reliable characteristics of the sample information. Models extracted contour is an important feature of the model identification On this basis, the paper is also concerned about the car's long, wide, higher basic characteristics of information, in particular, this paper models identify two tires center distance characteristics important parameters. Experimental and comparison through a variety of methods, and finally, the paper abandoned the original idea of ??removing complex background noise from the car object itself: First, the contours of the principle is applied to the car template positioning; Canny edge detection detected diagram and standard car FIG edge information of the target vehicle, and the standard vehicle edge of the chart image obtained by labeling the various models of the template; Finally, the template matching algorithm, the various models of the template and target car the Figure do match, in order to achieve the purpose of identifying the various models. The experiment proved that this method can obtain high recognition accuracy.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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