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Dynamic target behavior identification method and device

A dynamic target and recognition method technology, applied in the field of image recognition, can solve the problems of dynamic target loss, affect the accuracy of behavior recognition results, restore dynamic target capture, etc., and achieve the effect of ensuring accuracy

Inactive Publication Date: 2020-06-09
NANJING NEW GENERATION ARTIFICIAL INTELLIGENCE RES INST CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the video is usually divided into video frames, and the image recognition and behavior judgment are performed one by one. , the dynamic target may be lost, making it difficult to recover the dynamic target in subsequent video frames
Therefore, it ultimately affects the accuracy of behavior recognition results

Method used

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Embodiment Construction

[0017] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0018] refer to figure 1 , which is a schematic flowchart of a dynamic target behavior recognition method provided in an embodiment of the present invention, including specific steps, which will be described in detail below in combination with specific steps.

[0019] Step S101, acquiring a surveillance video of a dynamic target.

[0020] In a specific implementation, the dynamic target may be a moving target, such as a driving vehicle, a flying aircraft or a walking person. The monitoring video can be obtained from the outside of the dynamic target, showing the situation during the moving process of the dynamic target, and can reflect the positional relationship between the dynamic target and the surrounding things during the moving process.

[0021] Step S102, using an image recognition algorithm based on a convolutional neural network to ...

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Abstract

The invention discloses a dynamic target behavior identification method and device. The method comprises the steps of obtaining a monitoring video of a dynamic target; determining the position of thedynamic target in the monitoring video by adopting an image recognition algorithm based on a convolutional neural network, and extracting image features in a video frame; tracking the dynamic target according to the image features of the dynamic target in each video frame by using a KCF algorithm; determining the behavior situation of the dynamic target according to the behavior of the dynamic target in each video frame in sequence; and determining the behavior type of the dynamic target from the behavior situation of the dynamic target according to the behavior specification of the dynamic target. By adoption of the scheme, the KCF tracking algorithm is particularly adopted to track the image features of the dynamic target extracted from the video frame, the situation that the dynamic target is lost is avoided, and the accuracy of an identification result can be ensured.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a dynamic target behavior recognition method and device. Background technique [0002] Nowadays, with the rapid development of image recognition technology, people begin to widely apply image recognition in various fields, among which the behavior recognition of dynamic targets is one of the fields, mainly for the behavior of vehicles, aircraft and other moving targets. identify. [0003] In the prior art, the video is usually divided into video frames, and the image recognition and behavior judgment are performed one by one. , the loss of the dynamic target may occur, making it difficult to recover the capture of the dynamic target in subsequent video frames. Therefore, it ultimately affects the accuracy of behavior recognition results. Contents of the invention [0004] Purpose of the invention: The present invention aims to provide a dynamic target behavior recognition me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06T7/246
CPCG06T7/248G06T2207/20081G06T2207/10016G06V20/41G06V20/52G06N3/045
Inventor 梅舒欢石霖董晓飞张萌
Owner NANJING NEW GENERATION ARTIFICIAL INTELLIGENCE RES INST CO LTD
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