Pedestrian object detection method based on object posture projection and multi-features fusion

Abstract

The invention discloses a pedestrian object detection method based on object posture projection and multi-features fusion. The method comprises the following steps: firstly, a moving object is preliminarily extracted based on RGB (Red Green Blue) color space, the lighting mutation influence is suppressed and the shadow in the detection result is removed; secondly, the rectangular frames belonging to the same object are judged from the detection result and combined; and finally, as for the object areas in the rectangular frames, the defect caused by the similarity of the object and the background is repaired through combining a gait detection template based on posture estimation. The method provided by the invention has the benefits that an object template is built through the posture projection, and the original background feature matching in the template range is converted into the object feature matching, so the problem that the background and the object can not be distinguished when the object and the background are similar in visual features is solved, thereby improving both the accuracy and the integrity in object detection.

Description

Technical field [0001] The invention belongs to the technical field of video surveillance, and can accurately and completely extract pedestrian moving targets for moving target detection in an environment where the target dress color is similar to the background color, and specifically relates to a pedestrian target detection method based on target posture prediction and multi-feature fusion . Background technique [0002] Moving target detection is an important part of the intelligent monitoring system, and it is the basis of moving target tracking and target behavior analysis. At present, for the detection of moving objects in the fixed erection mode of the camera, the background difference method is generally used to realize the detection. The detection of the moving target is realized by detecting the difference between the background and the moving target. However, when the visual feature difference between the moving target and the background is small, the detection integ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a pedestrian target detection method based on target posture prediction and multi-feature fusion, which solves the problem of accuracy and completeness of detecting moving targets when the target visual features are similar to the background features, which is difficult to achieve in the prior art. both poor problems

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