Abnormal behavior detection using star skeleton

By: Call Number: AIT RSPR no.CS-08-03 Contributor(s): Material type: SeriesSeries: Asian Institute of Technology. Research studies project report ; no. CS-08-03Publication details: Pathum Thani, Thailand : Asian Institute of Technology, 2008Description: 22 p. : illSubject(s): Online resources: Summary: Security is an important problem nowadays, especially outside security of important building like banks, underground stations, and military stations. In most video surveillance systems, operators take a seat in front of the screen and watch for abnormal behavior. It is not an interesting job and sometimes operators get distracted. Important events can occur at that time. I propose work on an automated computer video surveillance system that acquires video, tracks objects, and analyzes objects in order to automatically detect abnormal behavior and notify operators to take action when they occur
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20-AIT Publication Asian Institute of Technology Library AIT Publications AIT RSPR no.CS-08-03 (Browse shelf(Opens below)) 1 Available 30050120615744
20-AIT Publication Asian Institute of Technology Library AIT Publications AIT RSPR no.CS-08-03 (Browse shelf(Opens below)) 2 Available 30050120615736
40-Archives Asian Institute of Technology Library Archives AIT RSPR no.CS-08-03 (Browse shelf(Opens below)) 1 Available 30050120239396
21 Asian Institute of Technology Library AIT Publications AIT RSPR no.CS-08-03 (Browse shelf(Opens below)) 3 Available 30050120930853

Submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, School of Engineering and Technology

Security is an important problem nowadays, especially outside security of important building like banks, underground stations, and military stations. In most video surveillance systems, operators take a seat in front of the screen and watch for abnormal behavior. It is not an interesting job and sometimes operators get distracted. Important events can occur at that time. I propose work on an automated computer video surveillance system that acquires video, tracks objects, and analyzes objects in order to automatically detect abnormal behavior and notify operators to take action when they occur

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