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ViCoS Lab

Authors

Matej Kristan, PhD
Matej Kristan, PhD
Janez Perš
Janez Perš
Stanislav Kovacic
Stanislav Kovacic

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Implementacija CONDENSATION Algoritma v domeni zaprtega sveta

Matej Kristan, Janez Perš and Stanislav Kovacic
Proceedings of the thirteenth Electrotechnical and Computer Science Conference, 2004,

People tracking in general is a challenging task and over the last two decades various computer vision algorithms dealing with this problem were proposed. Given a highly unpredictable nature of human motion stochastic based approaches such as CONDENSATION introduced by M. Issard and A. Blake in 1998, gained a lot of popularity among researchers in this field. In this paper we present an implementation of CONDENSATION algorithm for tracking people in sports. Since sport games usually take place in semicontrolled environments a closed world assumption, introduced by S.S. Intille and A.. Bobick in 1995 has been adopted. We present an architecture of such condensation based tracking algorithm within a closed world domain and show some results.

Faculty of Computer and Information Science

Visual Cognitive Systems Laboratory

University of Ljubljana

Faculty of Computer and Information Science

Večna pot 113
SI-1000 Ljubljana
Slovenia
Tel.: +386 1 479 8245