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A marker detection method using hysteresis thresholding for human posture tracking: a head tracking system

Published:27 May 2014Publication History

ABSTRACT

This paper presents an easy to implement and fast marker detection method suitable for real-time marker-based human posture tracking. The method works on a color segmentation algorithm based on hysteresis thresholding conducted on meaningful pixels in an image. After the segmentation algorithm is described, the experimental results for an artificial scene are given. Then, the applicability of the method is examined by means of a postural tracking application. The change in elbow angle between upper arm and forearm of a person is tracked during continuous flexion and extension movements with 21.5 Hz frequency for 640×480 resolution. The paper finally introduces the head tracking system developed using the proposed marker detection method.

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            PETRA '14: Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments
            May 2014
            408 pages
            ISBN:9781450327466
            DOI:10.1145/2674396

            Copyright © 2014 ACM

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            • Published: 27 May 2014

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