Title :
Automobile Driving Interface Based on Hand Trajectory Recognition
Author :
Reshetnev, Andrey ; Vavilin, Andrey ; Kim, Taeho ; Jo, Kang-Hyun
Author_Institution :
Grad. Sch. of Electr. Eng., Ulsan Univ.
Abstract :
In this paper, we propose auto-driving method for automobile by recognition of hand trajectory. The method consists of three main steps: hand detection, wheel detection and recognition. On the step of hand detection we extract hand from image by color model. From this step we get candidate for skin regions. The wheel detection consists of edge detection, Hough transform and wheel detection which uses mean shift algorithm. The last step in our method is recognition of hand position. The result is recognition of hand position on the wheel and rotation angle of the wheel.
Keywords :
Hough transforms; automotive engineering; edge detection; image colour analysis; object detection; object recognition; road safety; Hough transform; automobile driving interface; color model; edge detection; hand detection; hand extraction; hand trajectory recognition; mean shift algorithm; rotation angle; skin regions; wheel detection; wheel recognition; Art; Automobiles; Computer vision; Image edge detection; Image segmentation; Road accidents; Skin; Vehicle detection; Vehicle safety; Wheels;
Conference_Titel :
Strategic Technology, The 1st International Forum on
Conference_Location :
Ulsan
Print_ISBN :
1-4244-0426-6
Electronic_ISBN :
1-4244-0427-4
DOI :
10.1109/IFOST.2006.312226