test
server time: root: http://itiis.org
current_path: /journals/tiis/digital-library/20180
current_url: http://itiis.org/journals/tiis/digital-library/20180
Driver's Face Detection Using Space-time Restrained Adaboost Method
  • KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Driver's Face Detection Using Space-time Restrained Adaboost Method

Vol. 6, No. 9, September 25, 2012
10.3837/tiis.2012.09.021, Download Paper (Free):

Abstract

Face detection is the first step of vision-based driver fatigue detection method. Traditional face detection methods have problems of high false-detection rates and long detection times. A space-time restrained Adaboost method is presented in this paper that resolves these problems. Firstly, the possible position of a driver’s face in a video frame is measured relative to the previous frame. Secondly, a space-time restriction strategy is designed to restrain the detection window and scale of the Adaboost method to reduce time consumption and false-detection of face detection. Finally, a face knowledge restriction strategy is designed to confirm that the faces detected by this Adaboost method. Experiments compare the methods and confirm that a driver’s face can be detected rapidly and precisely.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
T. Liu, J. Xie, W. Yan and P. Li, "Driver's Face Detection Using Space-time Restrained Adaboost Method," KSII Transactions on Internet and Information Systems, vol. 6, no. 9, pp. 2341-2350, 2012. DOI: 10.3837/tiis.2012.09.021.

[ACM Style]
Tong Liu, Jianbin Xie, Wei Yan, and Peiqin Li. 2012. Driver's Face Detection Using Space-time Restrained Adaboost Method. KSII Transactions on Internet and Information Systems, 6, 9, (2012), 2341-2350. DOI: 10.3837/tiis.2012.09.021.