Pedestrian detection method based on saliency information

Abstract

The invention provides a pedestrian detection method based on saliency information. The method comprises an offline training step and an online detection step; the online detection step comprises calculating a salient map of an image to be detected, extracting a detection child window from the image and calculating the corresponding saliency of the detection child window according to the salient map, calculating corresponding features in the detection child window, detecting the corresponding features in the detection child window through a cascade classifier, and simultaneously distributing adjustment coefficients for the cascade classifier according to the corresponding saliency of the detection child window. According to the method, the saliency information is introduced to be served as auxiliary information for pedestrian detection to participate in the process of image identification on the basis of the existing AdaBoost classifier. In most cases, pedestrians are different from the surrounding environment in terms of color, shape and profile, the saliency information of the child window is adopted for correcting detection results of the classifier, the detection rate can be effectively improved, and the false detecting rate can be reduced.

Description

technical field [0001] The invention relates to image detection technology, in particular to image-based pedestrian detection technology. Background technique [0002] In recent years, pedestrian detection has attracted more and more attention from researchers and commercial companies because of its wide application, and the research in this area has also made great progress. However, due to the inherent characteristics of the pedestrian itself and the surrounding environment, there are still two technical difficulties in real-time and accurate detection: [0003] 1. A pedestrian is a non-rigid object, because of the different angles (front, side, back, etc.), clothing, occlusion, etc., resulting in the complexity of pedestrian detection. [0004] 2. The angle and properties of photography, the angle and intensity of light, and the diversity of surrounding objects will all bring certain difficulties to accurate detection. [0005] Pedestrian detection can be regarded as a ...

AI Technical Summary

Problems solved by technology

[0003] 1. A pedestrian is a non-rigid object, because of the different angles (front, side, back, etc.), clothing, occlusion, etc., resulting in the complexity of pedestrian detection

[0004] 2. The angle and properties of photography, the angle and intensity of light, and the diversity of surrounding objects will all bring certain difficulties to accurate detection

Although pedestrian detection has been significantly improved in detection speed and accuracy, there are still many areas for improvement

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