DocumentCode
1894723
Title
Saliency assistant driver alerting
Author
Daiqin Yang ; Shidong Ke ; Youqiang Hou ; Zhenzhong Chen
Author_Institution
Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan, China
fYear
2013
fDate
2-6 Dec. 2013
Firstpage
949
Lastpage
950
Abstract
This paper presents a driver alerting approach based on saliency detection. Due to the unequal distribution of photoreceptors in human visual system, visual acuity decreases according to the distance to the fovea area on the retina. A driver alerting approach is proposed based on visual sensor to detect the saliency information which may not be well perceived by the driver. The image acquired by the visual sensor is analyzed by the saliency detection algorithm. The salient object Which is not perceived by the driver, i.e. is projected on the retina but is far away from the fovea area, is detected. The experiments show that the proposed approach can effectively detect salient object which is not well perceived by the driver therefore ensure better driving safety.
Keywords
computer vision; driver information systems; eye; object detection; road safety; driver alerting approach; driving safety; fovea area; human visual system; photoreceptor distribution; retina; saliency assistant driver alerting; saliency detection algorithm; saliency information detection; visual acuity; visual sensor; Educational institutions; Feature extraction; Photoreceptors; Retina; Vehicles; Visual systems; Visualization; driver alerting; human visual system; saliency; visual sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location
Las Vegas, NV
Type
conf
DOI
10.1109/ICCVE.2013.6799937
Filename
6799937
Link To Document