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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Park, S. Mohan Trivedi |
| Copyright Year | 2005 |
| Description | Author affiliation: Comput. Vision & Robotics Res. Lab., California Univ., San Diego, CA, USA (Park, S.; Mohan Trivedi) |
| Abstract | This paper examines the feasibility of a semantic-level driver activity analysis system. Several new considerations are made to construct the hierarchy of driver activity. Driver activity is represented and recognized at multiple levels: individual body-part pose/gesture at the low level, single body-part action at the middle level, and the driver interaction with the vehicle at the high level. Driving is represented in terms of the interactions among driver, vehicle, and surround, and driver activity is recognized by a rule-based decision tree. Our system works with a single color camera data, and it can be easily expanded to incorporate multimodal sensor data. |
| Sponsorship | IEEE Intelligent Transportation Syst. Soc |
| Starting Page | 644 |
| Ending Page | 649 |
| File Size | 1024665 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780389611 |
| DOI | 10.1109/IVS.2005.1505176 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Intelligent vehicles Vehicle driving Vehicle safety Computer vision Robot vision systems Global Positioning System Vehicle detection Roads Torso Head |
| Content Type | Text |
| Resource Type | Article |
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