Human body target detection method based on head and shoulder depth information features

Abstract

A human body target detection method based on head and shoulder depth information features includes the steps that a large number of depth images in a head and shoulder area and a non-head and shoulder area are selected as sample images in a monitoring scene; the sample images are normalized to be of the same size dimension; HOG features are extracted from the sample images; the HOG features are fed into an SVM classifier so that head and shoulder classifiers can be trained; foreground extraction is conducted on one depth image to be detected through a background subtraction method, so that the corresponding foreground depth image is obtained; a head and shoulder candidate area is extracted from the foreground depth images; the head and shoulder features in the head and shoulder candidate area are extracted and recognized, and accordingly a human body target can be detected. The human body target detection method based on the head and shoulder depth information features has the advantages that interference caused by illumination conversion, background complexity and the like can be effectively eliminated, and therefore the accuracy of human body target detection can be improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent recognition, and in particular relates to a human body target detection method based on head and shoulder depth information features. Background technique [0002] Human object detection has a wide range of applications in the field of intelligent monitoring. At present, the methods for detecting human objects in images are mostly based on two-dimensional images taken by ordinary optical cameras. Due to the lack of spatial depth information in the two-dimensional image, the target can only be detected according to the differences in brightness and texture between the target and the background in the image. Therefore, the strength of the light or the complex background will bring serious troubles to the detection of the target. At present, some human detection methods combined with depth information have begun to appear, but because these methods are not perfect, detection errors are also very...

AI Technical Summary

Problems solved by technology

Chinese invention patent applications No. 201210208246.9, 201110305285.6 and 201310227247.2 respectively disclose a head and shoulder detection method. Although these three methods extract head and shoulder related features from two-dimensional images, such methods are subject to illumination changes and complex backgrounds. The impact is large, resulting in a high false detection rate

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