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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aggarwal, J.K, Cai, Q: Human Motion Analysis: A Review, Computer and Vision Research Center, The University of Texas at Austin.
Belkasim S., Shridhar M., Ahmadi M.: Pattern Recognition with Moment Invariants: A Comparative Study and New Results, Pattern Recognition, 12 (1991) 1117–1138.
Choras R., Andrysiak T. (et all): Komputerowy system wizyjny do oceny wplywu lekow na wybrane elementy motoryki czlowieka, Internal Report (not published).
Hodgins, J.K., Brogan, D.C., Wooten, W.L., O’Brien, J.F.: Animating Human Athletics, Proceedings of SIGGRAPH’95.
Hogg D.: Model-Based Vision: A Program to See a Walking Person, Image and Vision Computing, 1 (1993) 5–20.
Hu, M.K.: Visual Pattern Recognition by Moment Invariants, IRE Trans. Inform. Theory, IT(8), 1962.
Leung M., Yang Y.H.: Human Body Motion Segmentation in a Complex Scene, Pattern Recognition, (1987) 55–64.
Leung M., Yang Y.H.: A Region Based Approach for Human Body Motion Analysis, Pattern Recognition, (1987) 321–339.
Li Y.: Reforming the Theory of Invariant Moments for Pattern Recognition, Pattern Recognition Letters, 7 (1992) 723–730.
O’Rourke J., Badler N.I.: Model-Based Image Analysis of Human Motion Using Con straint Propagation, IEEE Trans. Pattern Anal. Mach. Intell., (1980) 522–536.
Rosales, R.: Recognition of Human Action Using Moment-Based Features, Boston University Technical Science Report BU 98-020, November 1998.
Song, Y, Feng, X., Perona, P.: Towards Detection of Human Motion, Proceedings of CVPR’00, June, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choras, R.S., Michal, C. (2002). Computer Visual System Analyzing the Influence of Stimulants on Human Motion. In: Perales, F.J., Hancock, E.R. (eds) Articulated Motion and Deformable Objects. AMDO 2002. Lecture Notes in Computer Science, vol 2492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36138-3_20
Download citation
DOI: https://doi.org/10.1007/3-540-36138-3_20
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00149-2
Online ISBN: 978-3-540-36138-1
eBook Packages: Springer Book Archive