Human detecting device and method

Abstract

The invention provides a human detecting device and an image enhancement algorithm for stressing the human outline. Under the conditions that the backgrounds are relatively complicated, when a person in a dark colored garment enters an area with a dark colored background, or a person in a bright colored garment enters an area with a bright colored background, because the contrast ratio between the person and the background is low, the outline of the person in the area can not be clearly extracted, and a clear outline of the person can be extracted by grey enhancement. In contrary, if the outline of the person in the area can be extracted clearly enough, the detecting accuracy can be reduced by grey enhancement. In the invention, the background image is divided into a plurality of areas byan image segmentation method, and in each area, whether to carry out grey enhancement is judged according to the degree of similarity of a gray level distribution histogram of a foreground image and a background image. The invention can prevent error extraction of excessive useless noise edge lines, can also stress the outlines of persons, and improves the accuracy of the human detecting device.

Description

Technical field [0001] This invention is applicable to a device and a detection method for automatically detecting a human body from an image extracted by a single fixed camera, belonging to the fields of image processing, pattern recognition, and computer vision. Background technique [0002] Human detection has many important applications in the field of computer vision, such as driving assistance systems, video surveillance, image retrieval, robotics, and advanced human-computer interaction. In intelligent video surveillance, automatically searching for human bodies in the scene is regarded as the first preprocessing step to understand human activities. But so far, the automatic search problem of the human body still has not obtained satisfactory results, mainly because the body's own posture changes frequently, the clothing has a variety of backgrounds, and the light conditions are complicated. [0003] The current human body feature extraction in human body detection devices ...

AI Technical Summary

Problems solved by technology

On the contrary, if a person with a bright clothing color enters an area with a dark background, the outline of the person in this area can be extracted clearly enough. If the grayscale enhancement of this area is required, the useless objects in the background and inside the character will be extracted. The edge line will also be enhanced, and too many useless noise edge lines will also reduce the detection accuracy

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