Title :
Motion estimation on driver video data
Author :
Marx, James ; Watta, Paul ; Lakshmanan, Sridhar
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA
Abstract :
In this paper, we analyze driver behaviour from video data of the driver taken as he or she drives the vehicle. An optical flow-based motion estimation is used to determine when the driver changes pose. The proposed motion analysis is tested on a video sequence of an actual driver. The results indicate that the motion estimation can, with probability 80%, correctly detect pose transitions. Experimental results are given which relate the probability of correct detection to the number of false detections.
Keywords :
automobiles; computer vision; computerised monitoring; image sequences; motion estimation; driver behaviour; driver video data; false detections; motion analysis; motion estimation; optical flow based motion estimation; pose transitions; video sequence; Band pass filters; Driver circuits; Filtering; Image motion analysis; Mirrors; Motion estimation; Optical filters; Optical sensors; Vehicle driving; Video sequences;
Conference_Titel :
Intelligent Vehicles Symposium, 2003. Proceedings. IEEE
Print_ISBN :
0-7803-7848-2
DOI :
10.1109/IVS.2003.1212992
