Behavior analysis method and device, electronic equipment and computer storage medium
A technology of behavior analysis and computer programs, applied in computer components, calculation, character and pattern recognition, etc., can solve the problems of difficult management and control, high cost of human resources and time
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example 1
[0086] Example 1: According to the file information of person A, count the activity track of person A in a designated area (such as the urban area of Shenzhen City), determine the time and place when person A appears in office buildings and office areas, and calculate according to different office buildings and office areas Count the number of times that person A has been captured, and arrange them in descending order of the number of times of being captured. When the number of times of being captured exceeds the first preset threshold, it can be judged that the corresponding office building or office area is the suspected work place of person A; for example , the first preset threshold is set to 80, and person A appears in office building 1 100 times, office building 2 10 times, and office building 3 8 times, then the suspected workplace of person A is office building 1.
example 2
[0087] Example 2: According to the file data of the burglary-convict person B, count the time and place of the burglary-convict person B’s appearance within the specified time period (such as the last month) in the specified area (such as the urban area of Shenzhen City), and determine the burglary-convict The time and place when person B appeared in the residential area, and count the number of times of burglary person B being captured according to different communities, and arrange them in order of the number of times of being captured from high to low; In the case of a residential community, exclude the residential community of the burglary-convicted person B; then, when the number of times of being captured exceeds the first preset threshold, it can be judged that the corresponding community is the suspected location of the burglary-convicted person B; for example, the first A preset threshold is set to 5, and burglary criminal B appears 30 times in community 1, 10 times ...
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