Abstract
A database is proposed for testing real-time activities associated with Automated Teller Machine (ATM) application. The actual videos recorded during acquisition are used for testing purposes. The scenarios for different types of occurrences in ATM cabins that can lead to the detection of suspicious human activity are documented. The work in progress involves the automated segmentation of video monitoring and database output enhancement for real- time acquisition.
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