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Particle filter and light stream vector-based video target tracking method

An optical flow vector, target tracking technology, applied in image data processing, instrumentation, processor architecture/configuration, etc.

Inactive Publication Date: 2013-03-06
CHINA DIGITAL VIDEO BEIJING
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] At present, there is no method for tracking video targets using particle filtering combined with optical flow vectors.

Method used

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  • Particle filter and light stream vector-based video target tracking method
  • Particle filter and light stream vector-based video target tracking method
  • Particle filter and light stream vector-based video target tracking method

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Embodiment Construction

[0046] The present invention will be described in detail below in conjunction with specific embodiments and drawings.

[0047] The present invention is a video tracking method based on particle filtering and optical flow vector. In the tracking process, if the number of optical flow lost by N particles at a certain moment is less than 90%, the optical flow vector is used to redistribute the N particles. Compared with the random number method, it can track the target more stably. The present invention has the following input parameters: the number of particles (N, N is a positive integer), the number of feature points (M, M is a positive integer), the tracking target selection rectangular area, and the tracking target search rectangular area. Among them, the number of particles is used to determine how many randomly distributed particles are used to calculate the RGB histogram. The number of feature points is used to determine how many feature points need to be generated on the t...

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Abstract

The invention discloses a video target tracking method, in particular a particle filter and light stream vector-based video target tracking method. The method comprises the following steps of: first, establishing an L-level Gaussian pyramid for an image at the moment t, and calculating the gray gradient of each level of Gaussian pyramid image along directions x and y; then, solving position deflection of M characteristic points of the image at the moment t-1 in the image at the moment t; next, resampling N particles for the image at the moment t-1 and redistributing the newly sampled N particles by using a random number or a light stream vector; later on, recalculating an RGB histogram of the N particles, calculating the weight of each particle according to the RGB histogram and performing weighted averaging for the N particle positions according to the weight to obtain an estimated position for the image of a tracking object at the moment t; and finally, performing stability comparison calculation on the estimated position to obtain a final position of the tracking object. The method can efficiently and accurately track a video target.

Description

Technical field [0001] The invention relates to a video target tracking method, in particular to a video target tracking method based on particle filter and optical flow vector, and is especially suitable for high-quality, high-efficiency video and image special effect processing and synthesis software. Background technique [0002] In the image / video post-processing software, the pixel characteristic area of ​​the moving image is tracked. The tracking data can be used to control the movement of other objects and stabilize the moving object, which has a wide range of needs. [0003] The particle filter algorithm has very good practicability. The basic idea of ​​the particle filter used in the particle filter tracking algorithm comes from Perfect Monte Carlo (PMC) simulation. In PMC, the mathematical expectation of any function: E(g(x 0:K ))=∫g(x 0:k )P(x 0:k |z 1:k )dx 0:k , Can be approximated as Where discrete samples It is an independent and identically distributed sequence...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20G06T1/20
Inventor 郑鹏程刘铁华见良孙季川
Owner CHINA DIGITAL VIDEO BEIJING
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