Paper
30 May 2000 Detecting humans: analysis and synthesis as a pattern recognition problem
Pankaj Kumar, Kuntal Sengupta, Surenda Ranganath
Author Affiliations +
Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386673
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
Abstract
In this paper, we address a few important image analysis problems, which are fundamental to the design of Perceptual User Interface. We use an inexpensive stationary desktop camera to collect the video streams and use them as input to the system. We present an algorithm for segmenting moving foreground object of interest from a complex, but stationary background. This algorithm can cope with illumination changes due to shadows, Automatic Exposure Correction and long term illumination changes in the environment. The segmentation is done real time and works well for both indoor and outdoor scenes. The detected foreground is recognized as human being based on head shoulder profile.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pankaj Kumar, Kuntal Sengupta, and Surenda Ranganath "Detecting humans: analysis and synthesis as a pattern recognition problem", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386673
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Cameras

Video

Detection and tracking algorithms

RGB color model

Head

Image segmentation

Pattern recognition

RELATED CONTENT

Temporally coherent 4D video segmentation for teleconferencing
Proceedings of SPIE (September 26 2013)
Detection of moving individuals in cluttered scenes
Proceedings of SPIE (April 17 2006)
Toward automatic extraction of video objects
Proceedings of SPIE (August 30 2002)
A multiple object tracking method based on object chain
Proceedings of SPIE (November 15 2011)

Back to Top