Method and system for re-identifying pedestrian based on view angle self-adaptive subspace learning algorithm

Abstract

The invention provides a method and a system for re-identifying a pedestrian based on view angle self-adaptive subspace algorithm. With the method, a rectangular image only comprising a single pedestrian or a target rectangular frame cut from an original video image is used as an input image; a feature vector is extracted from the input image; a data set is divided into a training data set and a testing data set; a transformation matrix is acquired on the training data set by learning the view angle self-adaptive subspace learning algorithm; and the transformation matrix acquired on the testing data set by learning the view angle self-adaptive subspace learning algorithm is utilized to calculate the distance and re-identify the pedestrian. According to the invention, the fact that different cameras have different properties is taken into account; and different transformations are used to compensate the transformation properties of different cameras, thus the optimum transformation relationship between each pair of the cameras can be acquired more flexibly through learning; and the features under different cameras after the cameras are transformed can be closer to the ideal feature distribution.

Description

technical field [0001] The present invention relates to a method in the field of computer vision, in particular to a pedestrian re-identification method and system based on a viewing angle adaptive subspace learning algorithm. Background technique [0002] With the continuous development of information technology, intelligent processing terminals have become very popular, and the collection of multimedia data has become more and more convenient. In the face of massive multimedia data, how to intelligently analyze them for our own use and to serve the society has become an important research topic in the field of computer vision. Object detection technology, object tracking technology and object recognition technology have all achieved great development, while detection, tracking and recognition technology for pedestrians has attracted the attention of many researchers because of its important practical value. In the fields of security and home care, we often pay attention t...

AI Technical Summary

Problems solved by technology

However, this method does not consider that pedestrian images under different camera perspectives correspond to different lighting, perspective changes, etc., so the obtained metrics are not optimal.

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