Fast detecting method and device for static vehicle target

Abstract

The invention discloses a fast detecting method and device for a static vehicle target. The fast detecting method includes the following steps that images are collected, wherein vehicle images are obtained; the images are preprocessed, wherein normalization is conducted on the sizes of the vehicle images, and the vehicle images are converted into a grey-scale map; entropy information is extracted, wherein pixel level traversal is conducted on the images through search boxes, and pulse iteration average entropy information of the partial images in the search boxes is extracted; rough positioning is conducted on the vehicle target, wherein the images with the pulse iteration average entropy value larger than that the target entropy value are taken as vehicle target rough positioning images; the vehicle target is determined, wherein the vehicle image with the largest pulse iteration average entropy value in the same picture area is reserved as a target vehicle search result; the vehicle target is presented in an original large image, and positioning of the vehicle target is completed. According to the fast detecting method and device for the static vehicle target, robustness, rapidness and transportability of a pulse coupling neural network feature extraction method are used, the feature of the pulse iteration average entropy is selected as the judgment basis, and the speed of detecting the static vehicle target is greatly increased.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a fast detection method for a static vehicle target. Background technique [0002] With the rapid development of intelligent transportation systems, vehicle object detection has become an important part of modern intelligent transportation systems. The accuracy of vehicle detection directly affects the level of traffic management, and it is also a difficult point in current intelligent transportation research. At present, the vehicle detection method based on motion information is mainly used for vehicle target detection, but this universal method is not completely suitable for current needs. In applications such as vehicle illegal parking capture and road bayonet vehicle capture, how to analyze vehicle information from static pictures has attracted more and more attention from researchers. Currently, vehicle detection and counting methods in static images are classifie...

AI Technical Summary

Problems solved by technology

This method has a certain adaptive ability, but the design of the classifier is complex and the calculation is large

At present, for the capture of vehicle pictures in real road scenes, how to quickly and effectively detect static vehicle targets is a bottleneck problem restricting the development of intelligent transportation.

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