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New Mixed Traffic Detection Algorithm Based on Spatial and Temporal Context
Author(s): 
Pages: 1289-1292,1297
Year: Issue:  12
Journal: Transactions of Beijing Institute of Technology

Keyword:  mixed trafficvideo detectionspatial and temporal context;
Abstract: 前景物体的边缘信息对混合交通视频检测的参数提取和表达具有非常重要的作用.为克服孤立地利用当前图像无法准确提取边缘信息的问题,提出了基于时空上下文表达的混合交通边缘提取新算法.在获取当前边缘信息基础上,结合运动目标的特征属性与时空上下文相关信息,通过检索文本的关联性,进行前景边缘提取.实验表明,文中算法能够准确而充分利用上下文信息实现前景边缘的提取,前景边缘的有效提取率可达95%以上,为后续混合交通视频检测的分类识别和参数提取提供了有效的依据.
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