Pedestrian detection method based on directional chamfering distance characteristics

Abstract

The invention provides a pedestrian detection method based on directional chamfering distance characteristics. The method comprises following steps of (1) inputting a to-be-detected image and preprocessing the to-be-detected image so as to obtain a to-be-detected edge image; (2) extracting the directional chamfering distance characteristics; (3) by taking a directional chamfering distance as a distance metric, comparing similarity of a profile of the to-be-detected edge image obtained in the step (1) with a profile of a template image and judging whether the to-be-detected edge image is a pedestrian image; and if the template image has been judged, judging that the template image is an image of a pedestrian profile. According to the invention, by expanding the original directional chamfering distance characteristics, adding characteristics in the profile direction, and further carrying out codebook and multi-scale describing on the characteristics, strong directional chamfering distance characteristics with scale invariance are formed; the anti-interference ability of the directional chamfering distance characteristics to noise is improved; and accuracy of the pedestrian detection system is sufficiently increased.

Description

technical field [0001] The invention relates to the fields of pattern recognition, machine learning, and computer vision, and is directly applied to the fields of pedestrian detection and the like. Background technique [0002] As an important part of most computer vision problems, people's individual actions, interactions between humans, and interactions between humans and machines have attracted more and more attention. Detecting, recognizing and tracking human body has become one of the most challenging topics in recent years. In the United States alone, about 5,000 of the nearly 35,000 accidental traffic accidents each year are directly related to pedestrians, so it is urgent to design and implement an automatic pedestrian detection system. [0003] Pedestrian detection, as a basic step in recognition and tracking, is widely used in many fields: [0004] 1) Video surveillance [0005] With the popularization of surveillance cameras, the monitoring of public places has...

AI Technical Summary

Problems solved by technology

Due to the high computational complexity and the difficulty of parameter tuning, 3D models are rarely used in the case of a single camera or lack of image depth information

[0018] Although there have been many achievements in the field of pedestrian detection, there is still a long way to go before large-scale practical use, and many problems still need to be solved, which requires us to further explore

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