Paper
3 January 1996 Pfinder: real-time tracking of the human body
Christopher R. Wren, Ali J. Azarbayejani, Trevor J. Darrell, Alexander P. Pentland
Author Affiliations +
Abstract
Pfinder is a real-time system for tracking and interpretation of people. It runs on a standard SGI Indy computer, and has performed reliably on thousands of people in many different physical locations. The system uses a multiclass statistical model of color and shape to segment a person from a background scene, and implements heuristics which can find and track people's head and hands in a wide range of viewing conditions. Pfinder produces a real- time representation of a user useful for applications such as wireless interfaces, video databases, and low-bandwidth coding, without cumbersome wires or attached sensors.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christopher R. Wren, Ali J. Azarbayejani, Trevor J. Darrell, and Alexander P. Pentland "Pfinder: real-time tracking of the human body", Proc. SPIE 2615, Integration Issues in Large Commercial Media Delivery Systems, (3 January 1996); https://doi.org/10.1117/12.229194
Lens.org Logo
CITATIONS
Cited by 168 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Video

Head

Statistical modeling

Human-machine interfaces

Image segmentation

Cameras

Process modeling

RELATED CONTENT

Human object articulation for CCTV video forensics
Proceedings of SPIE (March 19 2013)
3D object detection based on local feature fusion
Proceedings of SPIE (December 16 2022)
A 3D statistical shape model of the pelvic bone for...
Proceedings of SPIE (May 12 2004)
Improving depth maps with limited user input
Proceedings of SPIE (February 25 2010)

Back to Top