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Target tracking method and device based on exponential smoothing method, medium and equipment

An exponential smoothing method and target tracking technology, applied in the field of image processing, can solve the problems of large amount of stored features, poor target tracking speed and effect, etc., to reduce the amount of features and improve the speed and effect.

Pending Publication Date: 2022-04-01
GOSUNCN TECH GRP +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a target tracking method, device, medium and equipment based on the exponential smoothing method, so as to solve the problems of large storage feature quantity and poor target tracking speed and effect in the detection of human flow in the prior art

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  • Target tracking method and device based on exponential smoothing method, medium and equipment
  • Target tracking method and device based on exponential smoothing method, medium and equipment
  • Target tracking method and device based on exponential smoothing method, medium and equipment

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Embodiment Construction

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0047] In the embodiment of the present invention, when using deep learning to provide ReID appearance features in the pedestrian tracking process, the weighted moving average method is used to update the tracker, taking into account the historical features of the same track, making the feature more robust, and reducing the single-frame tracking error. It can effectively improve the speed and effect of pedestrian tracking, and further improve the accura...

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Abstract

The invention discloses a target tracking method based on an exponential smoothing method, and the method comprises the steps: carrying out the human body detection of an obtained current image frame through employing a target detection network yolov5 during target tracking, and generating a corresponding human body detection frame; according to the current image frame and the corresponding human body detection frame, carrying out human body multi-target tracking by adopting an improved target tracking method dep-sort; according to the improved target tracking method dep-sort, an exponential smoothing method is adopted to update fusion feature information of a tracker according to each current image frame. According to the method, the tracker is updated by using the weighted moving average method, and historical features of the same track are considered, so that the features are more robust, the influence caused by single-frame tracking errors is reduced, the speed and effect of pedestrian tracking can be effectively improved, and the accuracy of pedestrian flow statistics is further improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a target tracking method, device, medium and equipment based on an exponential smoothing method. Background technique [0002] In indoor or outdoor places with high crowd density, it is particularly important to count the real-time flow of people in both the security field and the commercial field. In order to meet the demand for people counting in such places with high density, the existing technology realizes it by adding people counting hardware devices in specific areas. However, although the addition of hardware statistics equipment has solved the statistical needs of the place, there are also shortcomings. On the one hand, the difficulty and cost of adding detection equipment is directly proportional to the number and subdivision of the target area; on the other hand, the existence of detection equipment will bring inconvenience to the flow of people in th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06T7/277G06V10/74G06V10/80G06K9/62G06N3/04G06N3/08
Inventor 韩愈陈利军王祥雪洪曙光林焕凯刘双广
Owner GOSUNCN TECH GRP
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