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Robust Head Tracking Based on Hybrid Color Histogram and Random Walk Kalman Filter

Authors: Gwang-Myung Kim; Dong C Lin; Jung H Kim; Sung H Yoon; NORTH CAROLINA AGRICULTURAL AND TECHNICAL STATE UNIV GREENSBORO DEPT OF ELECTRICAL ENGINEERING
Abstract:
This paper examines a new robust color scheme and an adaptive object tracking technique. There are several popular color schemes used in face tracking which include Normalized RGB, Hue, Saturation, and Hybrid type of colors. Hybrid color schemes provide improved results compared to any single color scheme technique. Extensive experiments show the new robust Hybrid color scheme produced superior results in various lighting conditions. in conjunction with the robust hybrid color scheme to track head movements a supporting algorithm was needed to approximate the random path of the head movement. Kalman filter is a famous estimation technique in many areas to predict the route of moving object. We tested and developed a random-walk Kalman filter to track unpredictable and fast moving objects. The random-walk Kalman filter tolerates for tracking of quick random movements made by a person, which was not accommodated by linear tracking techniques.

Limitations: APPROVED FOR PUBLIC RELEASE
Description: Conference paper
Pages: 6
Report Date: 12 Jun 2002
Report Number: P520410
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