Face Detection and Tracking For Activity Recognition (CROSBI ID 558757)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kuzmanić Skelin, Ana ; Bonković, Mirjana ; Vladan Papić.
engleski
Face Detection and Tracking For Activity Recognition
In this paper we present an approach to human activity recognition in an indoor environments. It combines Adaboost face detection with standard tracking methods – continuously adaptive mean-shift (CAMShift) and Kalman filtering. The output results are used to describe simple events of human activities in video using Finite State Machine. The system has been tested on several video sequences and we provide a summary of results.
Face detection; face tracking; activity recognition F
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Podaci o prilogu
321-324.
2010.
objavljeno
Podaci o matičnoj publikaciji
A. Hierlemann
Anaheim : Calgary : Zurich: ACTA Press
978-0-88986-827-4
Podaci o skupu
Seventh IASTED International Conference on Biomedical Engineering
predavanje
17.02.2010-19.02.2010
Innsbruck, Austrija