Method for calculating target locus

A target trajectory and target technology, applied in the field of target tracking, can solve the problems of large storage space, occupation, and large amount of calculation, and achieve the effects of simplifying the amount of calculation, improving detection efficiency, and increasing calculation speed

Inactive Publication Date: 2012-12-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0003] In the existing target correlation method, the trajectory correlation is performed after the target detection is completed. At the same time, the trajectory correlation algorithm is complex, and a certain amount of frame detection results need to be saved.
This method is computationally intensive, time-consuming, and takes up a large storage space

Method used

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  • Method for calculating target locus
  • Method for calculating target locus
  • Method for calculating target locus

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Embodiment Construction

[0020] A method for obtaining the target trajectory, such as figure 1 shown, including the following steps:

[0021] S1. Initialization, complete the initialization setting of parameters and data initialization, specifically including the following sub-steps:

[0022] S11. Initialization of the target detection parameters, the size of the filter window A is s, the size of the open operation structure is s1, and the selection method of the filter window A is as follows:

[0023] In order to reduce the amount of calculation, the size of the filter window A is N×N (generally N=3, 5, 7, 9). When counting the pixels of the filter window A, several representative directions are usually taken, such as the horizontal direction and vertical direction etc.

[0024] S12. Initialization of trajectory association parameters, the number of image frames M processed each time, the size δ of the association decision neighborhood, and the parameter v of the association threshold min ,v max ...

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Abstract

The invention discloses a method for calculating a target locus, which comprises the following steps: initializing parameter and data, target detection, target point association, correlation threshold update and removal of false locus. The method has the beneficial effects that the user can regulate the algorithm parameter to reach an expected algorithm result according to different battle environments, the detection algorithm of the algorithm adopts the mask image process to increase the detection efficiency, on the other hand, only previous frame of images and two speed parameters are kept, therefore, the calculation is simplified, and the arithmetic speed is increased.

Description

technical field [0001] The invention relates to the technical field of target tracking, in particular to a method for obtaining a target trajectory. Background technique [0002] Due to the uncertainty of the sensor observation process and the lack of prior knowledge of the tracking environment, measurement errors are inevitable in the measurement process; in addition, because the target data is usually uncertain, the measurement data cannot be determined in the case of multiple targets Is it from a target of interest, a false alarm, or something else. It is these uncertainties and randomness that require the use of data association techniques to find solutions. And data association is to solve the problem of which measurement comes from which target. The problem of data association widely exists in all stages of object tracking. In the initial stage of tracking, it is necessary to correlate measurements and measurements during multiple sampling cycles in order to provide...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
Inventor 孙名卉段昶
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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