自动化学报2016，Vol.42Issue(4)：605-616,12.DOI:10.16383/j.aas.2016.c150485
基于大气反射-散射模型的复原图像中交通视频车灯检测
Headlights Detection in Traffic Videos Based on Atmospheric Reflection-scattering Model via Reconstructing Restoration Images
摘要
Abstract
As the detection rate of headlights under complex lighting scenes in nighttime is relatively low, a novel algo-rithm of headlights detection based on atmospheric reflection-scattering model has been presented. The diffuse reflection light from road surface is firstly suppressed using the diffuse reflection principle. After improving the atmosphere scattering model, the airglow is estimated. The ambient light is then estimated with the dark-channel prior theory and the trans-mittance is defined again. A restoration image is obtained in which only headlights and reflection regions are contained. In order to suppress the halo produced by the highlights in the restoration image, the ambient light is estimated again with the dark-channel prior theory. All spots are then checked according to their four types of geometric characteristics step by step, non-headlights are finally filtered out. Experimental results show that under complicated weather, such as rain or snow, or under high population, or high-speed, the proposed algorithm has a higher detection rate, lower miss rate and false detection rate, compared with other similar advanced algorithms.关键词
车灯检测/复原图像/大气反射-散射模型/暗原色先验理论Key words
Headlights detection/restoration images/atmospheric reflection-scattering model/dark-channel prior theory引用本文复制引用
汤春明,曹志升,林祥清,肖文娜,耿磊..基于大气反射-散射模型的复原图像中交通视频车灯检测[J].自动化学报,2016,42(4):605-616,12.基金项目
天津市第三批三年千人计划项目(62014511),天津市科技支撑计划重点项目(14ZCZDGX00033),天津工业大学引进教师科研启动项目(030367)资助Supported by the Third Thousand Talents Plan of Tianjin over Three Years (62014511), Science and Technology Supporting Key Project of Tianjin (14ZCZDGX00033), and Scientific Re-search Starting Project for Introduce Teachers of Tianjin Poly-technic University (030367) （62014511）
