Pedestrian re-recognition method based on general similarity measurement learning

A similarity measurement, pedestrian re-identification technology, applied in the field of image processing, can solve the problem of long time

Active Publication Date: 2017-12-22
SUZHOU INST OF TRADE & COMMERCE
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Problems solved by technology

In the literature [5], a deep learning model is used to complete the task of pedestrian re-identification, but the training of the deep model takes a long time

Method used

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  • Pedestrian re-recognition method based on general similarity measurement learning
  • Pedestrian re-recognition method based on general similarity measurement learning
  • Pedestrian re-recognition method based on general similarity measurement learning

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Embodiment Construction

[0085] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0086] The pedestrian re-identification method based on generalized similarity metric learning provided by the present invention includes:

[0087] Acquiring all initial individual pedestrian images in the original surveillance video; scaling the initial individual pedestrian images to a preset uniform size to obtain pedestrian images of uniform size.

[0088] Applied to the feature expression vector extraction algorithm to calculate the feature expression vector for pedestrian images; specifically:

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Abstract

The invention provides a pedestrian re-recognition method based on general similarity measurement learning. The method comprises the steps that dimensionality reduction is carried out on the feature expression vector of a training sample through principal component analysis; the dimensionally reduced feature expression vector is projected into an intra-class subspace; a general similarity function defined by an inner product similarity measurement matrix and a Mahalanobis distance measurement matrix together is learned in the intra-class subspace; and finally pedestrian re-recognition is carried out on a test sample. According to the invention, the method makes full use of distance information and angle information among training samples; two acquired measurement matrices are mutually complementary; and through verification on a VIPeR dataset, joint learning of the inner product similarity measurement and the Mahalanobis distance measurement can effectively improve the performance of pedestrian re-recognition.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a pedestrian re-identification method based on generalized similarity metric learning. Background technique [0002] In a distributed video surveillance system composed of multiple cameras, it is often necessary to continuously track a pedestrian across cameras, or to retrieve pedestrians with specific appearances from pictures captured by different cameras. This task of establishing identity associations for pedestrians captured by different surveillance cameras based on clothing appearance information is called pedestrian re-identification, which is the core technology for applications such as multi-camera tracking and pedestrian retrieval. [0003] However, due to factors such as different internal parameters of the camera, changes in illumination, changes in shooting angles, pedestrian postures, and imaging occlusions, the appearance of the same pedestrian in...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/53G06V10/50G06F18/214
Inventor 董虎胜陆萍
Owner SUZHOU INST OF TRADE & COMMERCE
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