Online cross-scale multi-fluid target matching and tracking method

A target matching and multi-fluid technology, which is applied in the field of online cross-scale multi-fluid target matching and tracking, can solve problems such as difficulty in matching span targets, and achieve the effect of improving matching and tracking accuracy and reducing computational complexity.

Active Publication Date: 2020-06-05
CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to address the problems existing in the prior art and provide an online cross-scale multi-fluid target matching and tracking method, which can effectively improve the matching and tracking accuracy of multi-fluid targets, and solve the problem of long-term span targets caused by the separation and fusion of fluid targets. hard to match problem

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  • Online cross-scale multi-fluid target matching and tracking method
  • Online cross-scale multi-fluid target matching and tracking method
  • Online cross-scale multi-fluid target matching and tracking method

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Embodiment 1

[0034] The invention provides an online cross-scale multi-fluid target matching and tracking method, the method is as follows figure 1 As shown, it includes the following steps:

[0035] In step S101, the sliding window is used to extract associated objects, and the specific features on the image of the associated objects are matched and tracked to extract fluid target features of different scales.

[0036] The sliding window is performed on the image pyramid; the multi-scale sliding window is realized by scaling the image to different scales, and the size of the rectangular window remains unchanged. The sliding window position is uniformly sampled at each scale, and the grid position ensures that adjacent sliding windows overlap half of the area. There are multi-standard rectangular sliding windows on each grid point, and the standard gradually transitions from a short and flat rectangle to a tall and narrow rectangle; the number of specifications is determined by the size o...

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Abstract

The invention relates to an online cross-scale multi-fluid target matching and tracking method, which comprises the following steps of: extracting an associated object by adopting a sliding window, matching and tracking specific characteristics on an associated object image, and extracting fluid target characteristics of different scales; selecting basic characteristic parameters for characteristic extraction according to fluid target characteristics of different scales; calculating a composite association weight according to the feature information of the two continuous frames, extracting spatial association and time association information between different body targets through the composite association weight, and constructing a weighted bipartite graph based on the two adjacent framesbased on the association information; performing online target matching by adopting a sparse weighted bipartite graph matching algorithm, and constructing a sparse weighted bipartite graph based on the matched target; and performing target tracking and trajectory prediction by adopting a Kalman filtering algorithm based on the constructed sparse weighted bipartite graph. According to the invention, the multi-fluid target matching tracking precision can be effectively improved; the running time of the method is reduced to the second level, and the online algorithm requirement is met.

Description

technical field [0001] The invention relates, in particular, to an online cross-scale multi-fluid target matching and tracking method. Background technique [0002] At present, multi-target tracking technology consists of four steps: target detection, correlation weight calculation, target matching, and target trajectory tracking. Many research results have been obtained in the multi-target tracking problem, but the models used for tracking targets such as airplanes, pedestrians, vehicles, etc. are point targets, rigid-body targets or deformable targets composed of multiple rigid bodies. Fluid targets are quite different from these targets. The shape and intensity distribution of fluid targets will change continuously, and the scales of different targets vary greatly. [0003] Existing classical target detection methods need to identify individual target monomers. However, the shape of the fluid target changes all the time during the motion process, and there is a problem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/246G06T7/277
CPCG06T7/246G06T7/277G06T2207/20016
Inventor 刘佑达陈建军张扬
Owner CHINA ELECTRONICS TECH GRP CORP NO 14 RES INST
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