Detection of moving individuals in cluttered scenes

G. Christogiannopoulos; R. C. Young; C. R. Chatwin

doi:10.1117/12.664891

17 April 2006 Detection of moving individuals in cluttered scenes

G. Christogiannopoulos, R. C. Young, C. R. Chatwin

Proceedings Volume 6245, Optical Pattern Recognition XVII; 624504 (2006) https://doi.org/10.1117/12.664891
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

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 to be constantly updated 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.

Citation Download Citation

G. Christogiannopoulos, R. C. Young, and C. R. Chatwin "Detection of moving individuals in cluttered scenes", Proc. SPIE 6245, Optical Pattern Recognition XVII, 624504 (17 April 2006); https://doi.org/10.1117/12.664891

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available