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- W2372339542 abstract "This paper discusses a new intelligently monitoring system for the automatic teller machine(ATM) by using an omni-directional vision sensor(ODVS) and the computer vision technology.It uses ODVS to acquire the omni-directional image and perspective algorithm to unwrap the omni-directional image into several separated key surveillance sections.To improve the search efficiency and minimize the storage and data transmission,this paper presents a face detection algorithm based on Gaussian skin-color model to acquire the ATM users' face image and combines it with the time and location information of certain activities,which includes the time and the location and the person who is using ATM.To improve the safety of using ATM,this paper provides some means which based on the Kalman filter of face tracking and behavior semantic rules judgment to detect and analyze the peeping activities in the ATM surrounding area.Comparing with the existing ATM surveillance technology,the surveillance method proposed in this paper has the advantages of detecting widely range,high-level intelligence,high-efficiency storage and high-efficiency searching.The peeping behavior detecting algorithm has high robustness and detection precision." @default.
- W2372339542 created "2016-06-24" @default.
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- W2372339542 date "2010-01-01" @default.
- W2372339542 modified "2023-09-23" @default.
- W2372339542 title "ATM intelligent surveillance based on ODVS" @default.
- W2372339542 hasPublicationYear "2010" @default.
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