Moving target tracking method based on image

A moving target and image technology, applied in the field of image-based moving target tracking, can solve the problem of moving target size or scale tracking failure, and achieve the effect of eliminating randomness and uncertainty and improving accuracy.

Inactive Publication Date: 2018-06-19
HARBIN INST OF TECH AT WEIHAI
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  • Abstract
  • Description
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AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the current tracking method based on convolutional neural network fails to track when the size or scale of the moving target changes, the present invention provides an image-based

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  • Moving target tracking method based on image

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Embodiment Construction

[0025] Below in conjunction with the accompanying drawings, the specific implementation of the image-based moving target tracking method is described as follows:

[0026] In this implementation example, λ=10 -4 , η=0.45, the kernel width of the Gaussian function label is set to 0.1, the implementation of C3D adopts the method in [5], the implementation of DenseNet adopts the method in [6], and the feature pyramid network adopts the scheme and parameters in [4] , directly applied to the DenseNet in the network structure of the present invention. Implemented in the Python environment of the Ubuntu system, the migration learning uses the VGG-Net-19 pre-training results on ImageNet.

[0027] The present invention is compared with the method in the literature [1]. In the Singer2 sequence of the OTB50 test data set, the method in the literature [1] has serious deviations when tracking the target, while the method of the present invention can accurately track the target . It can b...

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Abstract

The invention provides a moving target tracking method based on an image, and aims to the problem of tracking failure of the conventional tracking method based on a convolutional neural network duringsize or scale change of a moving target. According to the method, feature extraction is performed on the image through a pre-trained network by employing a deep learning technology, a target point istracked by employing a correlation filter method, the tracking accuracy is improved through acquisition of information of time correlation by employing a C3D network, and multi-scale tracking characteristics are provided through combination of a DenseNet network and a network structure of a feature pyramid network so that accurate tracking during change of the size or the scale of the moving target can be realized, and the method can be widely applied to tracking of the moving target based on the image.

Description

technical field [0001] The invention relates to an image-based moving target tracking method. Background technique [0002] With the decrease of image sensor cost and the development of information processing technology, image-based moving target tracking has been widely used, such as security monitoring, automatic driving, environmental detection, field investigation and observation, human-computer interaction and other fields. increasingly important role. [0003] Since the target tracking method is the basis of image-based advanced visual processing tasks, such as traffic statistics of people or vehicles, abnormal behavior detection, etc., it has been developed rapidly in recent years. Traditional target tracking methods mainly include generative-based target representation modeling methods and discriminative-based target appearance modeling methods. Most of these methods use manually extracted features and shallow classifier structures, and there are problems such as s...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06N3/08G06T7/246G06T7/262G06T7/73
CPCG06N3/08G06T7/246G06T7/262G06T7/73G06V20/41G06V10/25G06V2201/07
Inventor 马立勇马城宽谢玮孙明健
Owner HARBIN INST OF TECH AT WEIHAI
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