In this paper, we consider the problem of estimating the pose of a driver from video data. We propose extensions to our previous eigenface and Fisherface-based methods to improve classification performance. In particular, a hybrid neural network/nearest neighbor algorithm is formulated for classification of frames. Experimental results show that the hybrid neural network outperforms the nearest neighbor classifier.
Improving driver pose estimation
Intelligent Vehicle Symposium, 2002. IEEE ; 2 ; 310-315 vol.2
2002-01-01
315249 byte
Conference paper
Electronic Resource
English
Improving Driver Pose Estimation
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