Multi-target tracking method and device based on TSK fuzzy system and storage medium

A multi-target tracking and fuzzy system technology, applied to devices and storage media, in the field of multi-target tracking methods based on TSK fuzzy systems, can solve the problem of low model classification accuracy and interpretability, unable to achieve accurate video multi-target tracking, target and target tracking. The problem of low accuracy of observed data association, to achieve the effect of accurate tracking

Active Publication Date: 2019-10-22
SHENZHEN UNIV
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Problems solved by technology

[0004] The main purpose of the embodiment of the present invention is to provide a multi-target tracking method, device and storage medium based on the TSK fuzzy system, which can at least solve the problem of low classification accuracy and interpr

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  • Multi-target tracking method and device based on TSK fuzzy system and storage medium
  • Multi-target tracking method and device based on TSK fuzzy system and storage medium
  • Multi-target tracking method and device based on TSK fuzzy system and storage medium

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no. 1 example

[0033] In order to solve the technical problem that the classification accuracy and interpretability of the model established by the traditional probability method in related technologies are low, the accuracy of the data association between the target and the observation is low, and the accurate tracking of multiple targets in the video cannot be realized. Embodiment proposes a kind of multi-target tracking method based on TSK fuzzy system, such as figure 1 Shown is a schematic flow chart of the multi-target tracking method provided in this embodiment. The multi-target tracking method proposed in this embodiment includes the following steps:

[0034] Step 101: Detect moving targets in the image to obtain an observation set, and determine whether the number of targets with stable tracks is greater than zero.

[0035] Specifically, moving target detection is the basis of video multi-target tracking. In this embodiment, the obtained target detection results are used as subsequen...

no. 2 example

[0148] In order to solve the technical problem that the classification accuracy and interpretability of the model established by the traditional probability method in related technologies are low, the accuracy of the data association between the target and the observation is low, and the accurate tracking of multiple targets in the video cannot be realized. The embodiment provides a multi-target tracking device based on the TSK fuzzy system. For details, please refer to Figure 8 Shown multi-target tracking device, the multi-target tracking device of this embodiment includes:

[0149] Judgment module 801, for detecting the moving target in the image to obtain the observation set, and judging whether the number of targets with stable tracks is greater than 0;

[0150] The first association module 802 is used to construct a TSK fuzzy classifier when the number of targets with stable tracks is greater than 0, and input the observation set to the TSK fuzzy classifier to obtain a l...

no. 3 example

[0173] This embodiment provides an electronic device, see Figure 9 As shown, it includes a processor 901, a memory 902 and a communication bus 903, wherein: the communication bus 903 is used to realize connection and communication between the processor 901 and the memory 902; the processor 901 is used to execute one or more programs stored in the memory 902 A computer program to implement at least one step of the method in the first embodiment above.

[0174] The present embodiment also provides a computer-readable storage medium, which includes information implemented in any method or technology for storing information, such as computer-readable instructions, data structures, computer program modules, or other data. volatile or nonvolatile, removable or non-removable media. Computer-readable storage media include but are not limited to RAM (Random Access Memory, random access memory), ROM (Read-Only Memory, read-only memory), EEPROM (Electrically Erasable Programmable read ...

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Abstract

The embodiment of the invention discloses a multi-target tracking method and a multi-target tracking device based on a TSK fuzzy system, and a storage medium. The method comprises the steps of firstlyjudging whether the number of targets with stable tracks is greater than 0 or not; if yes, constructing a TSK fuzzy classifier, inputting the observation set into the TSK fuzzy classifier to obtain alabel vector matrix, and then performing data association on the label vector matrix; if not, calculating the feature similarity between the target object in the target set and the observation objectin the observation set, inputting the feature similarity into the TSK fuzzy model to obtain a membership matrix, and then performing data association on the membership matrix; and finally performingtrajectory management based on a data association result. Through the implementation of the invention, the TSK fuzzy classifier is established to associate the stable flight path with the observation.The TSK fuzzy model is utilized to perform simple data association on the new observation, so that the data association between the target and the observation can be accurately completed. The accurate tracking of multiple targets in the video is realized.

Description

technical field [0001] The invention relates to the technical field of target tracking, in particular to a multi-target tracking method, device and storage medium based on a TSK fuzzy system. Background technique [0002] Video multi-target tracking technology can be simply understood as: in the video image sequence, multiple targets of interest are detected by algorithms, their positions are marked to obtain corresponding labels, and the complete trajectory of the target is finally obtained. The detection-based video multi-target tracking technology divides video multi-target tracking into two aspects: one is target detection, that is, to obtain the observation of the target of interest by selecting an appropriate target detection method; The following observations are matched to the correct target, thus forming the trajectory of each target. Therefore, whether accurate data association can be performed plays an important role in the whole target tracking result. [0003]...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06F18/2321G06F18/214Y02A90/10
Inventor 李良群严明月李小香刘宗香
Owner SHENZHEN UNIV
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