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
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;
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/ICCVE.2013.6799937