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Detection of moving individuals in cluttered scenes

presentation
posted on 2023-06-08, 15:01 authored by G Christogiannopoulos, Rupert YoungRupert Young, Chris ChatwinChris Chatwin
This 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 Engineering

Volume

6245

Presentation Type

  • paper

Event name

Optical Pattern Recognition XVII

Event location

Orlando (Kissimmee), FL

Event type

conference

Event date

April 17, 2006

Place of publication

Kissimmee, FL

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2013-05-24