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Method and device for target tracking

A target tracking and target technology, applied in the field of target tracking, can solve problems such as weak robustness

Active Publication Date: 2019-09-06
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Application Information

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Problems solved by technology

However, all these features are not robust when used for object tracking

Method used

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  • Method and device for target tracking

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no. 1 example

[0034] Please refer to figure 2 , figure 2 It is a flowchart of a target tracking method provided by the first embodiment of the present invention. The following will be figure 2 The process shown is described in detail, and the method includes:

[0035] Step S110: Obtain the target image corresponding to the tracking target in the initial frame image and the position points corresponding to the target image, and use the target image in the initial frame image as a matching template.

[0036] In this embodiment, the starting frame image may be acquired from an image acquisition device such as a camera or a video camera, or may be image data of the starting frame image input by a user or other equipment. It can be understood that the start frame image is a time sequence start frame among multiple frame images used for target tracking.

[0037] Further, determine the target image corresponding to the tracking target in the initial frame image, and the target image is the ...

no. 2 example

[0148] Please refer to Figure 11 , Figure 11 It is a structural block diagram of a target tracking device provided by the second embodiment of the present invention. The following will be Figure 11 The shown structural block diagram is described, and the shown device 200 includes: an image acquisition module 210, a first feature vector acquisition module 220, a particle acquisition module 230, a second feature vector acquisition module 240, an optimal position acquisition module 250, and a matching template judgment Module 260, particle judgment module 270, wherein:

[0149] The image acquisition module 210 is configured to acquire the target image corresponding to the tracking target in the initial frame image and the position points corresponding to the target image, and use the target image in the initial frame image as a matching template.

[0150] The first feature vector obtaining module 220 is configured to obtain the ScSPM feature vector of the matching template ...

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Abstract

The invention provides a target tracking method and device, belonging to the field of image processing. The method includes: firstly obtaining a target image corresponding to a tracking target in an initial frame image and a position point corresponding to the target image, using the target image as a matching template, and obtaining the ScSPM feature of the matching template according to a sparse coding algorithm of spatial pyramid matching technology vector; then according to the position point corresponding to the target image in the t-1 frame image and the particle filter algorithm incorporating motion estimation, obtain multiple particles in the t frame image, and determine each particle according to the position of each particle in the t frame image. The sampled particle area corresponding to each particle is calculated and the ScSPM feature vector of each particle area is calculated; finally, according to the ScSPM feature vector of multiple sampled particle regions and the ScSPM feature vector of the matching template, the optimal position of the target at the corresponding moment of the t-th frame image is obtained as Achieve durable and robust tracking of moving targets under complex conditions.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a method and device for object tracking. Background technique [0002] In recent years, object tracking technology has been widely studied in the fields of intelligent monitoring, visual guidance, human-computer interaction and so on. At present, target tracking technology mainly focuses on improving the robustness of tracking algorithms by improving target model representation, target tracking and detection methods. [0003] The essence of the object model representation is to extract the features of the object image, transform the object from the image space to the feature space, and improve the distinguishability of the object while reducing the object representation dimension. At present, the commonly used feature extraction methods mainly include color features, texture features, edge features, optical flow features, etc. However, all these features are not robust e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/42G06V10/50G06V10/513G06V10/462
Inventor 丁萌王洁魏丽张天慈周子易
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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