Detection and localization of road area in traffic video sequences using motion information and fuzzy-shadowed sets
Detection and localization of road area in traffic video sequences using motion information and fuzzy-shadowed sets
复制标题
使用运动信息和模糊阴影集检测和定位交通视频序列中的道路区域
DOI：
10.1109/ism.2005.48
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
H. N. Lam
中科院分区：
文献类型：
--
作者：
Do Lenh Hung Son;Truong Thien Dinh;Van Chi Nam;Trang Hanh;H. N. Lam
本文的目标是准确地检测和定位交通视频序列中的道路区域。提出了一种新的方法，其中使用运动信息和模糊阴影集。从视频序列中计算运动历史图像（MHI），然后结合背景模型来检测候选道路图像。最后的任务，得到最终的道路图像，道路定位步骤，是通过应用模糊阴影理论技术与隶属函数的基础上的颜色特征和空间特征。在不同的交通条件下，所提出的方法进行了测试，测试结果表明，在检测和定位的道路区域是精确的。
The goal of this work is to accurately detect and localize the road area in traffic video sequences. A new approach is presented in which motion information and fuzzy-shadowed sets are used. A motion history image (MHI) is calculated from the video sequence, and then combined with background model to detect the candidate road image. The last task to get the final road image, the road localization step, is accomplished by applying a fuzzy-shadowed theoretic technique with the membership function based on both chromatic characteristics and spatial characteristics. The proposed approach was tested with recorded video under various traffic conditions and the testing results were shown to be precise in detecting and localizing the road area.