Object tracking method and device based on neural network model

A neural network model and neural network technology, applied in biological neural network models, neural learning methods, image data processing, etc., can solve problems such as increasing computing time, affecting computing speed, and inability to optimize target detection and tracking results.

Active Publication Date: 2016-09-28
BEIJING KUANGSHI TECH +1
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AI Technical Summary

Problems solved by technology

This will cause repeated calculations, which will increase the calculation time and affect the operation speed, and will also cause the target det

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  • Object tracking method and device based on neural network model
  • Object tracking method and device based on neural network model
  • Object tracking method and device based on neural network model

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Embodiment Construction

[0081] In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. Apparently, the described embodiments are only some embodiments of the present invention, rather than all embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described here. Based on the embodiments of the present invention described in the present invention, all other embodiments obtained by those skilled in the art without creative effort shall fall within the protection scope of the present invention.

[0082] First, refer to figure 1 A schematic block diagram 100 of an example electronic device for implementing the neural network model-based target tracking method and apparatus according to the embodiments of the present invention is described. ...

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Abstract

The invention provides an object tracking method and device based on a neural network model. The neural network model comprises a feature extraction neural network, a first neural network and a second neural network. The object tracking method comprises that S120) a video to be processed is input to the feature extraction neural network to extract feature data of the video to be processed; S140) the feature data of the video to be processed is input to the first neural network to obtain a bounding box of at least one object in the video to be processed; and S160) the feature data and the bounding box of the video to be processed are input to the second neural network to obtain an identifier, which is used to indicate the at least one object, of the bounding box and further to track the at least one object in the video to be processed. According to the object tracking method and device, the object of the video can be detected and tracked more effectively, and the object tracking speed and accuracy are improved.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a method and device for object tracking based on a neural network model. Background technique [0002] As surveillance cameras become more and more popular, the demand for security monitoring of key scenes through cameras is also becoming more and more popular. The most urgent of such demands is the accurate detection and tracking of objects (such as pedestrians, vehicles, etc.). Detecting and tracking every object in a video scene is the most basic and important part of many applications. In short, accurately and efficiently locating and tracking every object in a video scene is of great significance in practical applications such as surveillance. [0003] Existing object tracking methods are usually divided into two independent steps. First, pedestrian detection is performed for each frame in the video to be processed. Then, separate tracking is done based on the res...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06N3/08
CPCG06N3/08G06T2207/10016G06T2207/20081G06T2207/30232
Inventor 俞刚李超何奇正陈牧歌彭雨翔印奇
Owner BEIJING KUANGSHI TECH
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