Surveillance video pedestrian re-recognition method based on ImageNet retrieval

A technology for pedestrian re-identification and monitoring video, applied in the field of video analysis, can solve the problem of long training process, and achieve the effect of simple and easy implementation, saving heavy work, and good practical use value.

Active Publication Date: 2016-02-24
WUHAN UNIV
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But a practical problem is that the training of large-scale deep learning network requires a huge labeled training set, and the trai

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  • Surveillance video pedestrian re-recognition method based on ImageNet retrieval
  • Surveillance video pedestrian re-recognition method based on ImageNet retrieval

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[0042]In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0043] A large number of existing pedestrian re-identification studies are based on a single standard dataset composed of pedestrians. However, in practical applications, pedestrians are not separated from surveillance videos, but mixed with background and other foreground objects. Manually labeled It is impractical to separate pedestrians in a large amount of surveillance video, therefore, a practical person re-identification method should be able to directly process surveillance video instead of a single pedestrian image. Object detection in video itself is ...

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Abstract

The present invention discloses a surveillance video pedestrian re-recognition method based on ImageNet retrieval. The pedestrian re-recognition problem is transformed into the retrieval problem of an moving target image database so as to utilize the powerful classification ability of an ImageNet hidden layer feature. The method comprises the steps: preprocessing a surveillance video and removing a large amount of irrelevant static background videos from the video; separating out a moving target from a dynamic video frame by adopting a motion compensation frame difference method and forming a pedestrian image database and an organization index table; carrying out alignment of the size and the brightness on an image in the pedestrian image database and a target pedestrian image; training hidden features of the target pedestrian image and the image in the image database by using an ImageNet deep learning network, and performing image retrieving based on cosine distance similarity; and in a time sequence, converging the relevant videos containing recognition results into a video clip reproducing the pedestrian activity trace. The method disclosed by the present invention can better adapt to changes in lighting, perspective, gesture and scale so as to effective improve accuracy and robustness of a pedestrian recognition result in a camera-cross environment.

Description

technical field [0001] The invention belongs to the technical field of video analysis, and relates to a surveillance video pedestrian re-identification analysis method, in particular to a surveillance video pedestrian re-identification method based on ImageNet retrieval. technical background [0002] When solving crimes, the public security often needs to track suspected targets from a large number of surveillance videos with scattered geographical locations, large coverage areas, and long time spans. The existing manual video inspection method is easy to miss the best time to solve the case due to low efficiency. The criminal investigation business urgently needs automated analysis. and retrieval technology support. In this context, pedestrian re-identification technology came into being. Pedestrian re-identification refers to the technology of automatically matching the same pedestrian object under the non-overlapping multi-camera images in the illuminated area, so as to ...

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Application Information

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IPC IPC(8): G06K9/00G06T7/00
CPCG06V20/40G06V20/41
Inventor 王中元邵振峰胡瑞敏梁超
Owner WUHAN UNIV
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