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Computer Visual System Analyzing the Influence of Stimulants on Human Motion

  • Ryszard S. Choras
  • Michal Choras 
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2492)

Abstract

In many situations determining the fact if human is under the influence of any stimulants (fi. alcohol or medicaments of any kind) can be crucial. The knowledge of how those stimulants (activators) influence the human motion and in what way, is of a great importance. Images of five markers situated on a moving person are analyzed. The vector of features characterizing the image of a marker (marker motion) is calculated and than compared to the reference vector. The reference vector describes the motion of a person not influenced by any stimulants. The features parameters calculated in the proposed method are: moments, kurtosis, skewness, normalization coefficients, moments coefficients, coefficient of the main axis of the region, orientation angle and 7 Hu Invariant Moments. The analysis of presented parameters is efficient enough to detect the existence of stimulant and to determine the exact kind of the stimulant applied to the examined person. Furthermore, the proposed method can specify the approximate amount (dose) of the stimulant.

Keywords

Feature Vector Human Motion Central Moment Reference Vector Invariant Moment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Ryszard S. Choras
    • 1
  • Michal Choras 
    • 1
  1. 1.Institute of TelecommunicationUniversity of Technology and AgricultureBydgoszczPoland

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