Target tracking method and device

A target tracking and target location technology, which is applied in the field of target tracking methods and devices, and can solve the problems of high computational complexity of algorithms, many examples, and degradation of classifier performance.

Inactive Publication Date: 2017-01-04
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide a method and device for target tracking, which are used to solve the problem that existing target tracking algorithms

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  • Target tracking method and device

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Embodiment Construction

[0075] 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 only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0076] figure 1 A schematic flow chart of a target tracking method provided by an embodiment of the present invention, such as figure 1 As shown, a target tracking method provided by an embodiment of the present invention includes the following steps:

[0077] Step 101, select the position of the first target in the first frame of the image sequence, track the first target, determine the tracking result of the first target as the first positive sample, and de...

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Abstract

The invention provides a target tracking method and device, belonging to the field of computer vision and mode identification. The method and the device are used for solving the problem of high complexity of an existing target tracking algorithm. The method comprises the steps of selecting a first target position in an Ith frame, determining the tracking result of a first target as a first positive sample, determining the characteristic set of a first sample set from multiple first positive sample packets and first negative sample packets through a formula (1), determining a first MIL1-norm SVM through the characteristic matrix formula (2) of first training data, constructing a first minimum support sample set through a formula (3), determining the weight of the first minimum support sample set through a formula (4), determining the classification score of the first support sample set corresponding to the MIL1-norm SVM based on weight distribution through a formula (5), and classifying candidates through the first MIL1-norm SVM in an (I+1)th frame and determining the second target position in a (I+1)th frame image according to the weight of a second minimum support sample set and a formula (6).

Description

technical field [0001] The invention belongs to the field of computer vision and pattern recognition, and in particular relates to a target tracking method and device. Background technique [0002] The automatic tracking of targets is one of the important topics in the field of computer vision research. It is widely used in various aspects such as intelligent monitoring, traffic flow analysis, vehicle system navigation and human-computer interaction. It is of great significance and research value to study a robust target tracking system. Because the actual tracking system is often affected by environmental lighting, cluttered background, occlusion, and the scale and deformation of the target itself, resulting in the decline of tracking accuracy and even tracking drift, it is difficult to meet the requirements of actual engineering. [0003] In the process of target tracking, the scale, rotation and occlusion of the target lead to the degradation of the target tracking templ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/40G06F18/2411G06F18/214
Inventor 杨红红曲仕茹金红霞
Owner NORTHWESTERN POLYTECHNICAL UNIV
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