Smoky vehicle detection method based on self-organized background difference model and multi-feature fusion
A technology of multi-feature fusion and background model, which is applied in the field of black smoke vehicle detection based on self-organized background difference model and multi-feature fusion, can solve the problems of unsatisfactory effect and low recognition rate, and achieves strong texture description ability and discrimination ability. The effect of strengthening and improving the detection rate
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[0067] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.
[0068] The invention proposes a smoky car detection method based on self-organized background difference model and multi-feature fusion, which can automatically identify smoky cars by analyzing road monitoring video, which is of great significance to the control of smoky cars. The invention adopts the self-organized background difference model to detect the moving target, characterizes the characteristics of the vehicle through multi-feature fusion, and judges whether the current vehicle is a smoky vehicle by means of a pruned neural network classifier. The self-organized background difference model adopted in the present invention not only has strong robustness t...
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