Particle Filtering Algorithm for Centralized Multi-Sensor Formation Target Based on Shape and Orientation Descriptor
A technology of descriptors and targets, applied in the field of multi-sensor and multi-target information fusion, can solve the problems of no research on multi-sensor situations, and achieve the effects of effective interconnection and fusion, small time-consuming increase, and high target tracking rate
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[0016] combine figure 1 As shown in the algorithm flow chart, the specific implementation of the centralized multi-sensor formation target particle filter algorithm based on shape and orientation descriptors is as follows:
[0017] (1) Establishment of formation target shape vector
[0018] The shape orientation descriptor is a common method for describing spatial graphics in digital image processing. It consists of the height, width, area, and ratio of the image orientation box, the height, width, area, ratio, minimum radius, maximum radius, and The minimum radius angle and the maximum radius angle are composed of 12 components.
[0019] Assume figure 2 The polygon A in is the target G of a certain formation at a certain moment t Planar shape graph of (k-1), t 1 , t 2 , t 3 , t 4 is the position of each target in the formation. Create the shape vector of A using the shape orientation descriptor
[0020] Ω t (k-1)={ω 1 , ω 2 , ω 3 , ω 4 , ω 5 , ω 6 , ω 7 , ω ...
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