Vehicle color detection method based on H_S two-dimensional histogram and regional color matching

Abstract

The invention discloses a vehicle color detection method based on an H_S two-dimensional histogram and regional color matching. The method comprises the following steps: (1) vehicle detection and normalization; (2) H_S two-dimensional histogram detection; (3) color extraction area detection: acquiring a color extraction area through eight neighborhood detection; (4) rationality examination: determining the rationality of the color extraction area; (5) color template matching. By using the vehicle color detection method based on the H_S two-dimensional histogram and the regional color matching, the vehicle color in a real time road monitoring scene shot by a camera which is arranged on a traffic intersection traffic light can be identified; target size changes (from the near to the distant and from the distant to the near), rotation, noise, brightness changes and the like can be processed; accurate target vehicle color can be obtained.

Description

technical field [0001] The invention belongs to the post-processing vehicle behavior analysis part in the field of intelligent traffic video monitoring, and in particular relates to a vehicle color detection method based on H_S two-dimensional histogram and regional color matching. Background technique [0002] Computer vision is a science that studies how to make machines "see". To put it further, it refers to using cameras and computers instead of human eyes to identify, track and measure targets, and further do graphics processing, and use computer processing to become more It is a technology suitable for human eyes to observe or transmit images to instruments for detection, so as to complete a vision-related task. In recent years, with the rapid development of cities, the scope of cities has continued to expand, and the number of vehicles in cities has increased rapidly, which has brought enormous pressure to urban traffic. Intelligent transportation system ITS, as a ma...

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Problems solved by technology

[0004] In order to overcome the above-mentioned defects, the present invention provides a vehicle color detection method based on H_S two-dimensional histogram and regional color matching, which can identify the vehicle color in the real-time road monitoring scene taken by the camera set up on the traffic light at the traffic intersection, and process the scene. Target size change (from near to far and from far to near), rotation, noise, brightness changes and other problems, to obtain accurate target vehicle color

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