Pedestrian detection method and device

Abstract

The invention relates to a pedestrian detection method and device, and belongs to the technical field of computer vision. The method includes: obtaining pedestrian samples and non-pedestrian samples respectively; obtaining a pedestrian sample dictionary and a non-pedestrian sample dictionary through the K-SVD algorithm; obtaining the residual error of the sample to be tested in the pedestrian sample dictionary and the non-pedestrian sample dictionary; When the residual error of the sample in the pedestrian sample dictionary is smaller than the residual error in the non-pedestrian sample dictionary, it is determined that the sample to be tested contains pedestrians. The present invention trains pedestrian samples and non-pedestrian samples into two types of dictionaries respectively through the K-SVD algorithm, and judges whether pedestrians are contained in the samples to be tested according to the size relationship of the residual errors of the samples to be tested in the two types of dictionaries; When the technology is applied to environments with occlusion and illumination changes, there is a problem of high false alarm rate, and the effect of pedestrian detection can be effectively applied to environments with occlusion and illumination changes.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a pedestrian detection method and device. Background technique [0002] In recent years, pedestrian detection has attracted more and more attention, and pedestrian detection in images and videos can be used in areas such as intelligent surveillance, intelligent transportation, and motion analysis. At the same time, people have more and more requirements for pedestrian detection. [0003] There is a pedestrian detection method in the related art. Firstly, the AdaBoost (Adaptive Boosting, self-adaptive enhancement) detection classifier is trained by the calculated target features. The block detects whether a pedestrian is present in this image. [0004] In the process of realizing the present invention, the inventor found that the above-mentioned method has at least the following defects: the above-mentioned method cannot describe the image information from multiple angle...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that image information cannot be described from multiple angles in the related art, the training process of the classifier is also relatively complicated, and when it is applied to an environment with occlusion and illumination changes, the problem of a high false alarm rate, the embodiment of the present invention provides Provided a pedestrian detection method and device, the technical solution is as follows:

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