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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ohn-Bar, E. Trivedi, M.M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Lab. of Intell. & Safe Automobiles, UCSD, La Jolla, CA, USA (Ohn-Bar, E.; Trivedi, M.M.) |
| Abstract | Observing hand activity in the car provides a rich set of patterns relating to vehicle maneuvering, secondary tasks, driver distraction, and driver intent inference. This work strives to develop a vision-based framework for analyzing such patterns in real-time. First, hands are detected and tracked from a monocular camera. This provides position information of the left and right hands with no intrusion over long, naturalistic drives. Second, the motion trajectories are studied in settings of activity recognition, prediction, and higher-level semantic categorization. |
| Starting Page | 1245 |
| Ending Page | 1250 |
| File Size | 2862011 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479960781 |
| DOI | 10.1109/ITSC.2014.6957858 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-10-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Trajectory Hidden Markov models Vehicles Support vector machines Predictive models Feature extraction Training |
| Content Type | Text |
| Resource Type | Article |
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