Zhaohui Wu
ABSTRACT
The existing illegal behavior recognition model has the problem of fuzzy value of human gait cycle, resulting in low recognition rate. A material warehouse personnel illegal behavior recognition model based on source information preprocessing is designed. Obtain the routine operation process of the personnel in the material warehouse, read and write the location label information, count the contour width of the continuous sequence, estimate the human gait cycle, divide the grid size by motion vector, extract the salient features of different video frames, define the time series in the video, and establish the violation identification mechanism by using the source information preprocessing technology. Experimental results: the average recognition rates of the material warehouse personnel violation recognition model designed in this paper and the other two recognition models are 61.777%, 47.950% and 45.588%, which proves that the recognition model integrating source information preprocessing technology is more suitable for material warehouse management.
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