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A pedestrian re-identification method based on a random erasure pedestrian alignment network

A pedestrian re-identification and pedestrian technology, applied in the field of computer vision, can solve problems such as network over-fitting and reduced matching accuracy

Pending Publication Date: 2019-04-05
CHANGZHOU UNIV
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Problems solved by technology

Due to the huge scale of the network, it is easy to cause network overfitting, thereby reducing the final matching accuracy.

Method used

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  • A pedestrian re-identification method based on a random erasure pedestrian alignment network
  • A pedestrian re-identification method based on a random erasure pedestrian alignment network
  • A pedestrian re-identification method based on a random erasure pedestrian alignment network

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Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings.

[0027] Such as Figure 1-9 As shown, a pedestrian re-identification method based on random erasing pedestrian alignment network, including the following steps:

[0028] Step 1, preprocessing the original pictures in the data set by random erasing data enhancement;

[0029] Random erasing is performed with a certain probability, for small batches of images I , assuming that the probability of its random erasure is , the probability that the image is not erased randomly is , images with different degrees of occlusion will be produced during the random erasing process.

[0030] Randomly select a rectangular area in an image , and then erase the original pixel with a random value.

[0031] The area of ​​the image is

[0032] , (1)

[0033] in: W is the width of the pedestrian image, H is the height of the pedestrian image.

[0034] Erase the height and widt...

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Abstract

The invention discloses a pedestrian re-identification method based on a random erasure pedestrian alignment network, and the method comprises the following steps: 1, carrying out the preprocessing ofan original image in a data set through employing a random erasure data enhancement algorithm, increasing the shielding, and reducing the influence caused by the overfitting; Step 2, sending the preprocessed image into a basic branch of the network; Step 3, enabling the images with the image dislocation phenomenon to enter an affine estimation branch to be aligned; 4, the aligned image enters analignment branch to be repositioned and subjected to feature extraction; 5, pedestrian re-identification is carried out in the three large pedestrian re-identification databases, and values of Rank-1and Map are used for representing effects of the re-identification test; According to the method, the image dislocation phenomenon is well improved, the overfitting influence is reduced, and the pedestrian re-identification rate can be well improved through the trained network.

Description

technical field [0001] The invention relates to a pedestrian re-identification method based on a random erasing pedestrian alignment network, which belongs to the technical field of computer vision. Background technique [0002] Pedestrian re-identification refers to the recognition of pedestrians in different camera images, that is, given a monitored pedestrian image, retrieve the pedestrian image under cross-device. The current research on pedestrian re-identification is mainly based on two categories: deep learning and non-deep learning. In recent years, pedestrian re-identification methods have mainly focused on the following two aspects: the first is the extraction of features; the second is the processing of lighting, background clutter, camera angles, and occlusions. The methods to solve these two problems are based on non-deep learning methods (such as metric learning, transfer learning, sparse representation, etc.) and methods based on deep learning. The methods us...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V40/10G06N3/045G06F18/214
Inventor 王洪元金翠陈首兵
Owner CHANGZHOU UNIV
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