A method and system for leaving work detection
A detection method and sentry box technology, applied in the direction of instruments, calculations, character and pattern recognition, etc., can solve the problems of false positives and undetectable moving targets, etc., and achieve the goal of improving accuracy, increasing accuracy rate and reducing false detection The effect of probability
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Embodiment 1
[0051] like figure 1 As shown, it is a flow chart of a specific embodiment of an off-duty detection method of the present invention. see figure 1 , a kind of off-duty detection method of present specific embodiment is carried out in two stages, and the first stage is the model training stage of human head, left and right ears, human body upper body, people's whole body, and the second stage is the off-duty detection stage; Specifically:
[0052] S1. Model training stage: train the training set samples including various types of human head, left and right ears, human upper body, and human body images to obtain human head models, left and right ear models, human upper body models, and human body models;
[0053] S2. Leaving post detection stage: Obtain the video frame sequence of the sentry box, use the human head model, left and right ear model, human upper body model, and human body model to detect the sentry box video frame sequence, and at least detect the human head, left ...
Embodiment 2
[0080] On the basis of Embodiment 1, the present invention also provides an off-duty detection system. like Figure 4 As shown, it is a structure diagram of an off-duty detection system in this specific embodiment. see Figure 4 A kind of off-duty detection system in this specific embodiment specifically includes:
[0081] The model training module 110 is used to train the training set samples including various types of human heads, left and right ears, human upper body, and human body images to obtain human head models, left and right ear models, human upper body models, and human body models;
[0082] The off-post detection module 120 is used to obtain the sentry box video frame sequence, and uses the human head model, left and right ear models, human upper body model, and human body model to detect the sentry box video frame sequence, and at least detects the human head, left and right ears, human upper body, and human body. One of them, otherwise it is judged as off-job...
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