Video-processing-based crowd density and distribution estimation method
A technology of crowd density and video processing, which is applied in the field of estimation of large-scale sports crowds, can solve the problems of large errors in estimation of low- and medium-density crowds, large number of features, and large amount of algorithm calculations, etc., to achieve small calculations and high accuracy , high efficiency effect
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[0031] The image frames used in this implementation come from the crowd density and flow estimation sequence in the dataset PETS2009 (IEEE International Workshop on Performance Evaluation of Tracking and Surveillance).
[0032] The method for estimating crowd density and distribution based on spatio-temporal local binary patterns involved in this embodiment, the overall process is as follows figure 1 shown, including the following specific steps:
[0033] The first step: use the three-dimensional Hessian matrix to detect sparse feature points, such as figure 2 shown.
[0034] H ( I ) = ∂ 2 I ∂ x 2 ...
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