Vehicle detection method and system based on image segmentation technology

Abstract

The invention discloses a vehicle detection method based on image segmentation technology. The method comprises the following steps: collecting a background image comprising a vehicle; carrying out secondary image segmentation on the background image to obtain a target image comprising the vehicle; carrying out boundary correction on the target image; detecting candidate windows of a current framegenerated according to a neighborhood range, where the vehicle is detected, in multiple frames target images before the current frame through multi-frame joint, and serving the window, where the vehicle is detected, in the candidate windows as a target window; and carrying out image de-overlapping processing on all frames of target windows to obtain a target region comprising the vehicle; and outputting a target region coordinate. The invention also discloses a vehicle detection system based on the image segmentation technology. The system comprises an image acquisition module, an image segmentation module, an image de-overlapping module and an output module.

Description

technical field [0001] The present invention relates to the field of image layering technology, in particular to a vehicle detection method and system based on image layering technology. Background technique [0002] As an important part of FCW (Front Collision Warning), moving vehicle detection based on vision sensors has become one of the focuses of many peer researches. Traditional moving vehicle detection technology based on visual sensors is mainly used on highways or urban expressways. These roads have clean backgrounds, less interference, and are basically not affected by the shadows of urban high-rise buildings, so the overall detection effect is ideal. On ordinary roads, when the vehicle is driving on the road, it is easily affected by the projection of surrounding high-rise buildings or the shadows of trees on both sides of the road, as well as the interference of other objects, resulting in a large degree of landslide in the vehicle detection effect. The false al...

AI Technical Summary

Problems solved by technology

Traditional visual sensor-based mobile vehicle detection technology is mainly used on highways or urban expressways. These roads have clean backgrounds, less interference, and are basically not affected by the shadows of urban high-rise buildings, so the overall detection effect is ideal.

On ordinary roads, when the vehicle is driving on the road, it is easily affected by the projection of surrounding high-rise buildings or the shadows of trees on both sides of the road, as well as the interference of other objects, resulting in a large degree of landslide in the vehicle detection effect. False alarms increased while false alarms decreased

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