Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis

Abstract

This paper presents a novel approach to recognizing driver activities using a multi-perspective (i.e., four camera views) multi-modal (i.e., thermal infrared and color) video-based system for robust and real-time tracking of important body parts. The multi-perspective characteristics of the system provides redundant trajectories of the body parts, while the… (More)
DOI: 10.1016/j.cviu.2006.08.010

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@article{Cheng2007MultispectralAM, title={Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis}, author={Shinko Y. Cheng and Sangho Park and Mohan M. Trivedi}, journal={Computer Vision and Image Understanding}, year={2007}, volume={106}, pages={245-257} }