Method and system for unsupervised image and video pedestrian re-identification based on transfer network

A pedestrian re-identification and unsupervised technology, applied in the field of pedestrian re-identification, can solve problems such as inability to directly perform metric learning, inability to deal with data heterogeneity, expensive manpower and time costs, and achieve the effect of alleviating a large number of missing labels
CN109948561BActive Publication Date: 2019-11-08GUANGDONG UNIV OF PETROCHEMICAL TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG UNIV OF PETROCHEMICAL TECH
Publication Date
2019-11-08

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Abstract

The invention belongs to the technical field of pedestrian re-identification, and discloses an unsupervised image video pedestrian re-identification method and system based on a migration network, andthe method comprises the steps: carrying out the feature extraction of an image and a video data set in a source domain through employing an improved triple network; training the generative adversarial network by using the source domain data set and the target domain training set; generating a depth feature by using the trained generative adversarial network according to the pedestrian image Itito be identified in the target training set; calculating the Euclidean distance between the depth feature of the image and the depth feature of the video in the target domain; and selecting a video which is closest to the query image, and marking a class mark which is the same as the image. According to the invention, an unsupervised method is used to eliminate a gap between an image and a video,so that the marking cost is greatly saved, and the pedestrian re-identification efficiency is improved.Through carrying out unsupervised deep learning on different modal images and videos, the cross-mode recognition efficiency is effectively improved.
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Description

technical field

[0001] The invention belongs to the technical field of pedestrian re-identification, in particular to a method and system for pedestrian re-identification of unsupervised image video based on transfer network, in particular to an unsupervised image video using cross-modal feature generation and transfer network of target information retention A method for person re-identification. Background technique

[0002] At present, the existing technologies commonly used in the industry are as follows:

[0003] The existing image-to-video pedestrian re-identification models use labeled datasets. Zhu et al. proposed a method that combines feature mapping matrices and heterogeneous dictionary pair learning. Quality image video dictionary for learning. Zhang et al. proposed a similarity learning neural network for temporal memory, including a feature representation subnetwork and a similarity subnetwork. The former uses a convolutional neural network to extract the feat...

Claims

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