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Detection of moving individuals in cluttered scenes
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posted on 2023-06-08, 15:01 authored by G Christogiannopoulos, Rupert YoungRupert Young, Chris ChatwinChris ChatwinThis paper describes a system for the detection of people moving in a video scene. The system is ultimately intended to allow tracking of the major parts of the human body. Objects are detected utilising a background subtraction method which is based on the movements of objects within the scene. The background removal algorithm is designed in a way that allows the background be to constantly up-dated automatically, allowing it to be used over a long period of time. Several methods for improving the outcome from the background removal algorithm are used which include addressing problems caused by variable shading. Mathematical morphology techniques are subsequently employed in order to improve the segmentation achieved in each frame.
History
Publication status
- Published
Journal
Proceedings of SPIE - The International Society for Optical EngineeringExternal DOI
Volume
6245Presentation Type
- paper
Event name
Optical Pattern Recognition XVIIEvent location
Orlando (Kissimmee), FLEvent type
conferenceEvent date
April 17, 2006Place of publication
Kissimmee, FLDepartment affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2013-05-24Usage metrics
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