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Visual recognition of driver hand-held cell phone use based on hidden CRF

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4 Author(s)
Xuetao Zhang ; Inst. of Artificial Intell. & Robot., Xi''an Jiaotong Univ., Xi''an, China ; Nanning Zheng ; Fei Wang ; Yongjian He

In this paper, we propose an automatic system that recognizes driver's abnormal behavior, i.e. cell phone use. Driver's actions are captured using a camera mounted above the dash board. Then the observed features are input into a Hidden Conditional Random Fields (HCRF) model. To incorporate long range dependencies, features are collected within a local window from neighbor sites. We evaluate the presented algorithm on the real video segments, and the results show that the system can successfully recognize the behavior.

Published in:

Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on

Date of Conference:

10-12 July 2011