Visual tracking method based on quantum particle swarm optimization

A quantum particle swarm, visual tracking technology, applied in the field of visual tracking, can solve problems such as search space limitations, achieve good tracking performance, improve robustness and effectiveness

Inactive Publication Date: 2015-08-19
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, the particle swarm optimization algorithm is a locally convergent algorithm, and it will also fall into a local optimum. This is because in the particle swarm optimization algorithm, the trajectory of each particle is limited, which leads to the limitation of the search space in the iterative process.
Therefore, the tracking method based on the particle swarm optimization algorithm cannot solve the existing problems in the tracking process very well.

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  • Visual tracking method based on quantum particle swarm optimization
  • Visual tracking method based on quantum particle swarm optimization
  • Visual tracking method based on quantum particle swarm optimization

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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0030] The implementation process of the scheme of the present invention is shown in figure 1 , the specific steps are as follows:

[0031] (1). In the current image, use the state transition distribution to randomly propagate the individual optimal state in the previous frame image:

[0032] The individual optimal state set of the particle set in the image tracking result at a given time t is Using Gaussian distribution as the state transition distribution, the random propagation method from time t to time t+1 is as follows:

[0033] x i 0 ...

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Abstract

The present invention discloses a visual tracking method based on quantum particle swarm optimization. The method comprises the steps of performing random propagation on an individual optimal state of particles of the previous frame by utilizing state transition distribution in a current image; carrying out quantum particle swarm optimization iteration on the particles after the random propagation; calculating fitness values of the particles by utilizing appearance models based on mixture Gaussian; updating the individual optimal state and a group optimal state of the particles according to the fitness values; and performing convergence theorem where an observed value corresponding to the group optimal state serves as a tracking result of the current image if convergence conditions are met while quantum particle swarm optimization iteration continues if convergence conditions are not met. The visual tracking method provided by the present invention helps to realize effective visual tracking and has excellent robustness.

Description

technical field [0001] The invention relates to visual tracking technology, in particular to a visual tracking method based on quantum particle swarm optimization. Background technique [0002] Visual tracking technology is an important and challenging research in the field of computer vision. This is because visual tracking technology has been widely used in intelligent monitoring, human-computer interaction, intelligent transportation, motion capture and other fields. Given an initial state of an object in a video sequence, the goal of visual tracking is to estimate the state of the object in subsequent images. Although there are still great difficulties in robust visual tracking technology (such as: illumination changes, occlusion, appearance and shape changes, violent random motion, etc.), in recent years, a large number of researches have provided a large number of visual tracking technology. Many tracking algorithms with good performance have been used in practical a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 王保云孙波高浩师玉娇
Owner NANJING UNIV OF POSTS & TELECOMM
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