Low-resolution pedestrian re-identification system and method based on super-resolution image generation
A pedestrian re-identification and super-resolution image technology, applied in the field of low-resolution pedestrian re-identification system, can solve the problems of poor pedestrian re-identification effect, low-resolution loss, etc.
Active Publication Date: 2019-07-09
SUN YAT SEN UNIV
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[0009] Aiming at the defects and deficiencies of the existing technology, and aiming at the problem that pedestrian re-identification is poor due to the loss of discriminative information due to the low resolution of pedestrian images, the present invention provides a low-resolution pedestrian re-identification based on super-resolution images. Recognition system and method to improve the effect of low-resolution pedestrian re-identification by jointly training pedestrian attribute-guided discrimination pedestrian image generation network model and pedestrian re-identification network model
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[0097] Aiming at the low-resolution pedestrian re-identification problem, this embodiment proposes a low-resolution pedestrian re-identification system based on super-resolution image generation, which includes a pedestrian attribute-guided super-resolution image generation network model and a pedestrian re-identification network model ,
[0098] In this embodiment, the super-resolution image generation network model guided by pedestrian attributes includes a generator and a discriminator, the generator uses a conditional loop against the generator in the generation network, and the discriminator uses a conditional loop against the discriminator in the generation network; The generator includes the first generator G h→l and the second generator G l→h , the discriminator includes a first discriminator D h→l , the second discriminator D l→h ; the first generator G h→l Used to generate low-resolution images from high-resolution images, the second generator G l→h Used to gene...
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The invention discloses a low-resolution pedestrian re-identification system and method based on super-resolution image generation, the system comprises a pedestrian attribute guided super-resolutionimage generation network model and a pedestrian re-identification network model, and the method comprises the following steps: selecting a high-resolution image sample, a low-resolution image sample and a pedestrian attribute vector; training the super-resolution image to generate a network model; training a pedestrian re-identification network model; jointly training the super-resolution image togenerate a network model and a pedestrian re-identification network model; inputting the low-resolution pedestrian image test set and the corresponding pedestrian attribute vector into a super-resolution image generation network model and a pedestrian re-identification network model after joint training to extract pedestrian image characteristics. The detail recovery of the low-resolution image is achieved, meanwhile, the capacity of a network is expanded, and the re-identification effect of the low-resolution pedestrian is improved.
Description
technical field [0001] The invention relates to the fields of computer vision and intelligent monitoring, in particular to a low-resolution pedestrian re-identification system and method based on super-resolution image generation. Background technique [0002] The task of pedestrian re-identification is to identify pedestrian identity information across cameras. With the rapid development of video surveillance, pedestrian re-identification plays an increasingly important role in intelligent surveillance. For the problem of pedestrian re-identification, the usual steps are to extract the features of pedestrians first, measure the distance of the features of pedestrians to obtain similarity scores, and then sort according to the similarity scores, and finally obtain the identity of pedestrians. In real life, due to the different positions of the camera and the change of the distance between the pedestrian and the camera, the resolution of the pedestrian images acquired in thi...
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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/10G06N3/045G06F18/24
Inventor 郑伟诗叫洁宁
Owner SUN YAT SEN UNIV