Pictorial Structures for Object Recognition
International Journal of Computer Vision
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Turn-Intent Analysis Using Body Pose for Intelligent Driver Assistance
IEEE Pervasive Computing
Object Detection with Discriminatively Trained Part-Based Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Articulated pose estimation with flexible mixtures-of-parts
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Qualitative pose estimation by discriminative deformable part models
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
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Estimating driver pose from videos is a significant task in driver assistance systems. In this paper, we introduced a mixture model for driver pose estimation. By the mixture model, a driver's upper body is composed of a set of non-oriented parts, and the spatial relationships of parts are modeled by a collection of springs. We described the algorithm of estimation. The steps of the algorithm, such as calculating HOG features, distance transformation, message passing, and back tracking, are discussed in details. The experiment demonstrates that our implementation can achieve good performance.