Detecting unsafe driving patterns using discriminative learning

Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Volumn , Issue , 2007, Pages 1431-1434

  Yue, Zhou ^a   Wei, Xu ^b   Huazhong, Ning ^a   Yihong, Gong ^b   Huang, Thomas S ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b Lab America   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION POWER; CONDITIONAL PROBABILITIES; CONDITIONAL RANDOM FIELD (CRF); DISCRIMINATIVE LEARNING; DRIVING SIMULATORS; GENERATIVE MODELING; GRAPHICAL MODELLING; INTERNATIONAL CONFERENCES; MULTI CHANNEL (MC); RECORDING DATA; SEMI SUPERVISED LEARNING (SSL); SEQUENTIAL DATA; TRAINING DATA; UNDIRECTED GRAPHS; UNSAFE DRIVING;

AUTOMOBILE DRIVERS; AUTOMOBILE SIMULATORS; CLASSIFICATION (OF INFORMATION); DATA RECORDING; EDUCATION; EXHIBITIONS; FEATURE EXTRACTION; GRAPHIC METHODS; LEARNING SYSTEMS; RISK ASSESSMENT; SUPERVISED LEARNING;

LEARNING ALGORITHMS;

EID: 46449108924     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. P. Artaud, S. Planque, C. Lavergne, H. Cara, P. de Lepine, C. Tarriere, and B. Gueguen. An on-board system for detecting lapses of alertness in car driving. In 14th Int. Conf. Enhanced Safety of Vehicles, volume 1, Munich, Germany, 1994.
2. S. F. Chen and R. Rosenfeld. A survey of smoothing techniques for me models. In IEEE Trans. on Speech and Audio Processing, volume 8, pages 37-50, 2000.
3. A. Haro, M. Flickner, and I. Essa. Detecting and tracking eyes by using their physiological properties, dynamics, and appearance. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 01:1163, 2000.
4. J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. 18th International Conf. on Machine Learning, pages 282-289, 2001.
5. A. Pentland and A. Liu. Modeling and prediction of human behavior. In Neural Computation, volume 11, pages 229-242, 1999.
6. Xiaojin Zhu and Zoubin Ghahramani and John Lafferty. Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. In Proceedings of International Conference on Machine Learning, 2003.
7. Z. Zhu and Q. Ji. Real time and non-intrusive driver fatigue monitoring. In 7th IEEE International Conference on Intelligent Transportation Systems, Washington DC, 2004.