Axis Transformation and Exponential Map Based on Human Motion Tracking

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 191)

Abstract

Human motion tracking is a special important research domain in the field of computer vision. It is widely used in security monitoring, video compression, video editing, sports training and so on. Therefore, this paper utilizes the parameters of exponential map to express all parts of the body posture. It mainly consists of the following parts: establish the objective function based on the video image, seek to reach the minimum parameters by iteration method and utilize the minimum parameters to obtain the place of all parts of the body posture in the current frames. The experimental results indicate the presented algorithm can track human motion effectively and accurately.

Keywords

human motion tracking Axis Transformation Exponential Map 

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References

  1. 1.
    Hogg, D.: Model-based vision: a program to see a walking person. Image and Vision Computer 1(1), 5–20 (1983)CrossRefGoogle Scholar
  2. 2.
    Aggarwal, J.K., Cai, Q.: Human Motion Analysis: A Review. Computer Vision and Image Understanding 73(3), 428–440 (1999)CrossRefGoogle Scholar
  3. 3.
    Kakadiaris, I.A., Metaxas, D.: 3D Human Body Model Acquisition from Multiple Views. In: Proceeding of the Fifth International Conference on Computer Vision (1995)Google Scholar
  4. 4.
    Wren, C., Dynaman, P.A.: A Recursive model of human motion. MIT Media Lab, Cambridge (1998)Google Scholar
  5. 5.
    Bbrno, M.G.: Bayesian S. Methods for multi aspect target tracking in image sequences. IEEE Transactions on Signal Processing 52(7), 1848–1861 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yu Xue
    • 1
  1. 1.College of Physical EducationYan’an UniversityYan’anChina

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