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Proceedings Paper

Real-time head tracking based on color and shape information
Author(s): Dong-gil Jeong; Yu Kyung Yang; Dong-Goo Kang; Jong Beom Ra
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Paper Abstract

In this paper, we propose a robust real-time head tracking algorithm using a pan-tilt-zoom camera. In the algorithm, the shape of the head is assumed as an ellipse and a model color histogram is acquired in advance. Then, in the first frame, a user defines the position and scale of a head. In the following frame, we consider the ellipse selected in the previous frame as the initial position, and apply the mean-shift procedure to move the position to the target center where the color histogram similarity to the reference one is maximized. Here, the reference color histogram is adaptively updated from the model color histogram by using the one in the previous frame. Then, by using gradient information, the position and scale of the ellipse are further refined. Large background motion often makes the initial position not converge to the target position. To alleviate this problem, we estimate a reliable initial position by compensating the background motion. Here, to reduce the computational burden of motion estimation, we use the vertical and horizontal 1-D projection dataset. Extensive experiments show that a head is well tracked even when a person moves fast and the scale of the head changes drastically.

Paper Details

Date Published: 14 March 2005
PDF: 12 pages
Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); doi: 10.1117/12.587343
Show Author Affiliations
Dong-gil Jeong, Korea Advanced Institute of Science and Technology (South Korea)
Yu Kyung Yang, Korea Advanced Institute of Science and Technology (South Korea)
Dong-Goo Kang, Korea Advanced Institute of Science and Technology (South Korea)
Jong Beom Ra, Korea Advanced Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 5685:
Image and Video Communications and Processing 2005
Amir Said; John G. Apostolopoulos, Editor(s)

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