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ŘÍHA, K. PŘINOSIL, J. FU, D. ZUKAL, M. KARÁSEK, J.
Originální název
Method for Real-Time Face Tracking in a Video Sequence
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The article presents a method for real-time tracking of face in video sequences. Algorithms for face detection are often very time-consuming and there are problems with their performance in real-time processing of video sequences or video streams. The algorithm presented in the article solves this problem using the optical flow technique. Face detection can be performed in a longer interval (in the order of hundreds of milliseconds) than the FPS of a given video sequence is performed. A special functionality for the evaluation of partial movements in the area of the face being tracked has been developed. The part of the article focused on testing the algorithm shows a high reduction of computation time with the high-accuracy determination of the face position preserved even in frames where the face detection algorithm was not applied.
Klíčová slova
Face Detection, Optical Flow, Tracking, Digital Video Sequence, Image Processing
Autoři
ŘÍHA, K.; PŘINOSIL, J.; FU, D.; ZUKAL, M.; KARÁSEK, J.
Rok RIV
2012
Vydáno
7. 9. 2012
Nakladatel
WSEAS Press
Místo
Sliema, Malta
ISBN
978-1-61804-119-7
Kniha
Advances in Sensors, Signals, Visualisation, Imaging and Simulation
Edice
Recent Advances in Electrical Engineering Series
Číslo edice
6
Strany od
182
Strany do
187
Strany počet
BibTex
@inproceedings{BUT93885, author="Kamil {Říha} and Jiří {Přinosil} and Dongmei {Fu} and Martin {Zukal} and Jan {Karásek}", title="Method for Real-Time Face Tracking in a Video Sequence", booktitle="Advances in Sensors, Signals, Visualisation, Imaging and Simulation", year="2012", series="Recent Advances in Electrical Engineering Series", number="6", pages="182--187", publisher="WSEAS Press", address="Sliema, Malta", isbn="978-1-61804-119-7" }