Smoky Vehicle Recognition Method Based on Gaussian Mixture and Autoregressive Moving Average Model
A Gaussian mixture model, autoregressive sliding technology, applied in the field of computer vision and pattern recognition, can solve problems such as unfavorable vehicle preservation, time-consuming and labor-intensive, affecting traffic operation, saving manpower and financial resources, improving law enforcement efficiency, and fast computing. Effect
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[0075] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0076] The invention provides a smoky car recognition method based on Gaussian mixture and autoregressive moving average model, which can synthesize different types of static features, and introduces autoregressive moving average model to describe the dynamic characteristics of key areas, and is effective for camera shake and vehicle shadows High robustness, can reduce noise interference, further improve the recognition rate of smoky cars, and reduce the false alarm rate.
[0077] The present invention provides a smoky car identification method based on Gaussian mixture and autoregressive moving average model, the flow chart of which is as follows figure 1 As shown, follow the steps below:
[0078] Step 1: Use the Gaussian mixture model to detect vehicle moving targets from road surveillance videos;
[0079] Step 2: Extract three features of t...
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