Human body posture recognition using MPEG-7 descriptors

Lutz Goldmann; Mustafa Karaman; Thomas Sikora

doi:10.1117/12.526666

18 January 2004 Human body posture recognition using MPEG-7 descriptors

Lutz Goldmann, Mustafa Karaman, Thomas Sikora

Proceedings Volume 5308, Visual Communications and Image Processing 2004; (2004) https://doi.org/10.1117/12.526666
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

This paper presents a novel approach to human body posture recognition based on the MPEG-7 contour-based shape descriptor and the widely used projection histogram. A combination of them was used to recognize the main posture and the view of a human based on the binary object mask obtained by the segmentation process. The recognition is treated as a typical pattern recognition task and is carried out through a hierarchy of classifiers. Therefore various structures both hierachical and non-hierarchical, in combination with different classifiers, are compared to each other with respect to recognition performance and computational complexity. Based on this an optimal system design with recognition rates of 95.59% for the main posture, 77.84% for the view and 79.77% in combination is achieved.

Citation Download Citation

Lutz Goldmann, Mustafa Karaman, and Thomas Sikora "Human body posture recognition using MPEG-7 descriptors", Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); https://doi.org/10.1117/12.526666

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