Method and device for intelligently monitoring and identifying surrounding environment of payee, and medium
A surrounding environment and intelligent monitoring technology, applied in the field of behavior recognition, can solve problems such as limited storage days, long video recording length, and warning and alarming of people who cannot withdraw money.
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Embodiment 1
[0057] The invention provides a method for intelligent monitoring and identification of the surrounding environment of the withdrawal person, such as figure 1 As shown, including video surveillance, target tracking, interactive behavior detection and interactive behavior recognition.
[0058] The target tracking is as follows: when video monitoring shows that people enter around the ATM cash machine, Markov Monte Carlo is used to carry out multi-target tracking with the human body in the monitoring video as a target, and obtain a tracking video including multi-target tracking trajectories.
[0059] Multi-object tracking is especially important in the process of action recognition, without reliable tracking accuracy, the accuracy of the final action recognition cannot be guaranteed. Most current multi-target tracking algorithms do not consider the occlusion of the target as much as possible. The project intends to define the human target intensity mapping relationship diagram ...
Embodiment 2
[0167] This embodiment provides an intelligent monitoring and identification device for the surrounding environment of a cashier, including: a target tracking module, an interaction behavior detection module, and an interaction behavior identification module.
[0168] The target tracking module is used for: when video monitoring shows that people enter around the ATM cash machine, Markov Monte Carlo is used to carry out multi-target tracking with the human body in the monitoring video as a target, and obtain a tracking video including multi-target tracking tracks .
[0169] The interactive behavior detection module is used to: extract the multi-layer pyramid structure of the motion boundary histogram feature MBH and the directional optical flow histogram feature HOOF from the tracking video, and construct the combined feature HOM; according to the combined feature HOM, through the convolutional neural network The algorithm judges the facial portrait and its feature points of e...
Embodiment 3
[0184] The present invention also provides a computer storage medium, including a computer program. When the computer program is executed by a processor, the method for intelligently monitoring and identifying the surrounding environment of a payer described in Embodiment 1 is implemented.
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