Extreme learning machine and color feature fusion based pedestrian gender identifying method

Abstract

The invention discloses an extreme learning machine and color feature fusion based pedestrian gender identifying method. The method includes extracting extreme learning machine features of training images whose gender attributes are not marked; extracting HSV color features of input training image whose gender attributes are not marked, combining the extreme learning machine features with the color features and thus obtaining fusion features, and training a pedestrian gender classifier by utilizing a linear SVM (Support Vector Machine) according to the fusion features and training image labels; extracting image features of a to-be-tested image by utilizing a model obtained through training and extracting HSV color features of the to-be-tested image, fusing the two kinds of features and thus obtaining the fusion features of the to-be-tested image, and classifying the fusion features by utilizing the pedestrian gender classifier of the linear SVM obtained in the training process. According to the invention, extreme learning features and color features of the input images are extracted and fused effectively, mutual complementation of the two kinds of features is realized, and pedestrian gender attributes are captured more effectively, so that pedestrian gender identification rate is improved.

Description

technical field [0001] The invention relates to computer vision and pattern recognition, in particular to a pedestrian gender recognition method based on extreme learning machine and color feature fusion. Background technique [0002] With the active promotion of "smart cities", thousands of video surveillance cameras gradually cover various public places, providing basic guarantee facilities for urban public safety management. Considering various factors such as anti-terrorism and national public security, the video surveillance system urgently needs a fast identification technology in the long-distance and non-cooperative state of the target, so as to quickly confirm the identity of pedestrians at a long distance and realize intelligent early warning. As an important auxiliary means of long-distance identification technology, pedestrian gender recognition technology is an indispensable part of the intelligent video surveillance system. [0003] Pedestrian gender recogniti...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the existing methods. The present invention proposes a pedestrian gender recognition method based on extreme learning machine (Extreme Learning Machine) and color feature fusion, which solves the problem of low recognition accuracy of traditional manual feature extraction methods. Deep learning relies on big data, tuning skills and high-performance computing hardware

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