Multi-target tracking method and system under flicker noises
A multi-target tracking and flicker noise technology, applied in the field of target tracking, can solve the problem that the filter cannot be applied to the flicker noise environment
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Embodiment 1
[0035] like figure 1 As shown, the embodiment of the present invention proposes a multi-target tracking method under flicker noise, including steps S101 to S106.
[0036]Among them, the target at the previous moment and the target at the current moment refer to multiple tracking targets at different moments, and the distribution of the target in the area is represented by the distribution function and the label multi-Bernoulli filter density.
[0037] Wherein, step S101 to step S103 are prediction steps, step S104 is an update step, step S105 is a cropping step, and step S106 is an output step.
[0038] In the embodiment of the present invention, the implementation process of step S101 may be as follows:
[0039] Use k-1 to represent the previous moment, k to represent the current moment, and t k-1 Indicates the time at the previous moment, t k Indicates the time at the current moment;
[0040] The observation noise at the current moment obeys the Student's t distribution,...
Embodiment 2
[0115] like figure 2 As shown, Embodiment 2 of the present invention also provides a multi-target tracking system 20 under flicker noise, including but not limited to the following components:
[0116] The prediction module 21 is used to utilize the distribution function and label multi-Bernoulli filter density of each target at the previous moment to obtain the predicted distribution function and the predicted label multi-Bernoulli filter density of the existing target at the current moment through prediction;
[0117] The newborn target acquisition module 22 is used to set a preset distribution function and a preset label multi-Bernoulli filter density for the newborn target;
[0118] The merging module 23 is used to merge the preset distribution function of the newborn target and the preset label multi-Bernoulli filter density with the predicted distribution function and the predicted label multi-Bernoulli filter density of the existing target at the current moment, to obt...
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