Improving driver pose estimation
Paul B. Watta, Yulin Hou, Sridhar Lakshmanan, N. Natarajan · 2003
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.