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Object tracking method based on simplex method

A technology of object tracking and simplex method, which is applied in image data processing, instrumentation, computing and other directions, and can solve problems such as difficult recovery and object failure.

Inactive Publication Date: 2012-09-19
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

However, this MS-based method starts from the assumed initial position (there are also MSs with position prediction based on motion vectors, such as "Kernel-based object tracking"), and searches for the best matching area along the direction of the probability density gradient. Therefore, the The method is easy to fall into local optimum, and often fails when tracking fast-moving objects, and it is difficult to recover from failure

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  • Object tracking method based on simplex method
  • Object tracking method based on simplex method
  • Object tracking method based on simplex method

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Embodiment Construction

[0033] Below in conjunction with accompanying drawing and the present invention will be further described.

[0034] Many different applications can be realized based on the method of the present invention. The valuable application is to search for the target object in a large amount of dynamic or non-dynamic image data, for example, it can be used for fluid surface velocity measurement (such as debris flow surface velocity measurement), road Vehicle tracking and speed measurement, aerial object tracking and speed measurement, target search in "Skynet" video, pedestrian tracking and behavior analysis, etc. Without loss of generality, the method comprises the following steps:

[0035] (1) Select the tracking target

[0036] Select the target object to be tracked from the selected image, and calculate the appearance statistics (such as color, texture, outline, or their combination) of the target object. The target selection process can be automatically extracted by the moving t...

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Abstract

The invention discloses an object tracking method based on simplex method, comprising the following steps of: selecting an object from an obtained image to carry out tracking processing; through the steps of target selection, image imputing, simplex peak selection, calculation of distance between the peak and the target, peak sequencing, simplex operation, target predication, and the like, finding out the node with the minimum distance to the target after certain times of iteration, that is, the target is at the position of the current image, so that the tracking for the target object is realized. The method can realize real-time and quick tracking of moving objects, and can automatically recover after the tracking is failed.

Description

technical field [0001] The invention belongs to the technical field of computer graphics and image processing. Background technique [0002] At present, object tracking methods are mainly divided into probabilistic tracking methods and deterministic tracking methods. [0003] The probability tracking method is mainly represented by particle filter, such as an adaptive color filtering method "An adaptive color-based particle filter" proposed by Nummiaro, and the conditional probability density propagation tracking method "CONDENSATION-Conditional density propagation for visual tracking" proposed by Isard , and P.H.Li's contour filtering method "Visual contour tracking based on particle filters". The main problem of these probabilistic tracking methods is that the method needs a large number of samples to approximate the posterior probability density of the system well. The more complex the environment the robot faces, the more samples are required to describe the posterior p...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/20
Inventor 权伟陈锦雄余南阳
Owner SOUTHWEST JIAOTONG UNIV
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