A learning based approach is presented for a single camera based robust head pose estimation in highly cluttered and complex real world environments. The method makes effective use of a recently introduced real-time 3D depth sensing technology, resulting in illumination-invariant head pose estimation. The main target application of our work is to classify the focus of attention of an automobile driver as straight-ahead, towards-rear-view mirror, towards the dash board, etc. This type of information is expected to be useful in conjunction with other sensors to enable safer driving.
Illumination invariant head pose estimation using single camera
2003-01-01
343079 byte
Conference paper
Electronic Resource
English
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