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ŘÍHA, K. PŘINOSIL, J. FU, D. ZUKAL, M. KARÁSEK, J.
Original Title
Method for Real-Time Face Tracking in a Video Sequence
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Face Detection, Optical Flow, Tracking, Digital Video Sequence, Image Processing
Authors
ŘÍHA, K.; PŘINOSIL, J.; FU, D.; ZUKAL, M.; KARÁSEK, J.
RIV year
2012
Released
7. 9. 2012
Publisher
WSEAS Press
Location
Sliema, Malta
ISBN
978-1-61804-119-7
Book
Advances in Sensors, Signals, Visualisation, Imaging and Simulation
Edition
Recent Advances in Electrical Engineering Series
Edition number
6
Pages from
182
Pages to
187
Pages count
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" }