Share Email Print
cover

Proceedings Paper

Robust head tracking using hybrid color and 3D under natural and unspecified environments
Author(s): Gwang-Myung Kim; Sung-Ho Yoon; Jung-Hyun Kim; Gi-Taek Hur
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We present a crossbreed feature-based head tracking technique in natural and unspecified environment. Kalman filter is a famous estimation technique in many areas to predict the route of moving object. We tested and developed a Kalman filter to track unpredictable and fast moving objects. Depth information could generate robust tracking result that is little affected by background texture and color. However this is also limited by selected conditions like distance, accuracy of stereo camera, and object occlusion at same distance, etc. To overcome these restrictions, we combined multiple features together into single tracking system that does largely depend on depth feature. We consider multi people environment with rapid walking path.

Paper Details

Date Published: 23 June 2003
PDF: 7 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.503215
Show Author Affiliations
Gwang-Myung Kim, North Carolina Agricultural and Technical State Univ. (United States)
Sung-Ho Yoon, North Carolina Agricultural and Technical State Univ. (United States)
Jung-Hyun Kim, North Carolina Agricultural and Technical State Univ. (United States)
Gi-Taek Hur, Dongshin Univ. (South Korea)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

© SPIE. Terms of Use
Back to Top