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

  • Xi'an Jiaotong University
  • Xian Communication Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

59 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011
Pages248-251
Number of pages4
DOIs
StatePublished - 2011
Event2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011 - Beijing, China
Duration: 10 Jul 2011 → 12 Jul 2011

Publication series

NameProceedings of 2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011

Conference

Conference2011 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2011
Country/TerritoryChina
CityBeijing
Period10/07/11 → 12/07/11

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