TY - GEN
T1 - Visual recognition of driver hand-held cell phone use based on hidden CRF
AU - Zhang, Xuetao
AU - Zheng, Nanning
AU - Wang, Fei
AU - He, Yongjian
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/80052875306
U2 - 10.1109/ICVES.2011.5983823
DO - 10.1109/ICVES.2011.5983823
M3 - 会议稿件
AN - SCOPUS:80052875306
SN - 9781457705762
T3 - Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011
SP - 248
EP - 251
BT - Proceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011
T2 - 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011
Y2 - 10 July 2011 through 12 July 2011
ER -