A new paradigm for the computation of conspicuity of traffic signs in road images
The estimation of conspicuity is of importance for engineers who aim at making traffic signs conspicuous enough to attract attention regardless of drivers preoccupation. Unfortunately, conspicuity remains a poorly understood attribute due to the relatively limited - although growing -knowledge about the human visual processing system. Our goal is to develop a system which estimates the conspicuity of traffic signs based on the processing of images acquired with a camera onboard a vehicle, in order to be able to make a diagnosis regarding their conspicuity. Aside from specific feature known to be of importance for road signs, there is currently no complete model for conspicuity. However, a computational model for attentional conspicuity was proposed in computer science. This model is based on vision science knowledge of the low levels of the human visual processing system, and we show that it is not suitable for sign detection tasks. We thus propose a new paradigm for conspicuity estimation in search tasks based on statistical learning of the features of the searched object.
road safety conspicuity saliency object detection image processing statistical learning visibility visual performance quality level.
Ludovic Simon Jean-Philippe Tarel Roland Brémond
Laboratoire Central des Fonts et Chaussées (LCPC) 58 Bd Lefebvre, 75015 Paris, France
国际会议
26th Session of the CIE(国际照明委员会（CIE）第26届大会)
北京
英文
730-733
2007-07-04（万方平台首次上网日期，不代表论文的发表时间）