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Target personnel identifying and tracking method applying unmanned aerial vehicle monitoring

A person identification and unmanned aerial vehicle technology, applied in the field of target person identification and tracking, to achieve the effect of great practical promotion value and simple and easy method.

Active Publication Date: 2017-05-10
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The above method is only suitable for multi-camera video surveillance in large areas, but it is powerless for some areas without cameras

Method used

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  • Target personnel identifying and tracking method applying unmanned aerial vehicle monitoring
  • Target personnel identifying and tracking method applying unmanned aerial vehicle monitoring
  • Target personnel identifying and tracking method applying unmanned aerial vehicle monitoring

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with specific embodiments.

[0039] Such as figure 1 As shown, the target person identification and tracking method described in this embodiment includes the following steps:

[0040] 1) Obtain the reference feature vector X of the target person 0

[0041] Input single or multiple images of the target person, remove the background, and after image preprocessing, extract the feature vector as the reference feature vector; wherein the reference feature vector X 0 It is obtained by converting the input target person image into the HSV format after preprocessing, and counting the number of pixels of various colors in the image of the format.

[0042] 2) UAVs are used to obtain video images of areas where the target may exist

[0043] UAVs with GPS and high-definition cameras are used to shoot in areas where the target may appear, requiring a suitable shooting distance and flying at a suitable speed to ...

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Abstract

The invention discloses a target personnel identifying and tracking method applying unmanned aerial vehicle monitoring. The method comprises the steps that 1) the basic feature vector X0 of the target personnel is acquired; 2) an unmanned aerial vehicle acquires the possible existing area video image of the target; 3) a timestamp and a space-stamp are loaded on the image; 4) the image is preprocessed so as to acquire a pedestrian sample image; 5) the pedestrian sample image transmitted back by the unmanned aerial vehicle is received; 6) the feature vector Xi of the received pedestrian sample image is extracted and compared with the basic feature vector X0 of the target personnel so as to calculate similarity measure Di; and 7) the most possible appearing time and place of the target personnel are judged according to the Di value. According to the method, searching for the target personnel is facilitated so that the searching speed can be enhanced and the method has actual popularization value.

Description

technical field [0001] The invention relates to the field of traffic video monitoring, in particular to a method for identifying and tracking target personnel using unmanned aerial vehicle monitoring. Background technique [0002] For the video surveillance system, on the basis of pedestrian detection technology, analyze whether a specific person has appeared in the surveillance video, use the existing human target image library, when the scene or time changes, first detect the person in the surveillance video pedestrians, search the library, match the detected pedestrians with the target image library, and identify and confirm the identity of the currently looking pedestrian again. We refer to this technology as pedestrian re-identification technology in intelligent video surveillance system. [0003] And the above method is only applicable to the multi-camera video surveillance in large areas, but powerless for some areas without cameras. Today, drone aerial photography ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V20/13G06V20/53
Inventor 黄玲游峰吴蔚林启恒庞崇浩罗积银
Owner SOUTH CHINA UNIV OF TECH
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