CAJ | 학술논문

将视频监控技术应用于交通信息获取与处理，解决行人安全问题，已成为智能交通系统中的一项关键技术。为精准地提取交通场景语义信息，提出了融合时域和空域信息的行人检测算法。通过相邻多帧时域变化和Canny边缘检测算法得到初始检测掩模图像，解决差值局部化和噪声问题；提取空域信息时，引入二次重构和内外标记技术对梯度图像进行修正和分水岭变换，得到空域掩模图像，有效地提高空域分割精度，消除过分割现象；最后将两者结果进行融合和形态学修正，提取出交通场景图像中的运动行人。以北京南站为例进行实验分析，结果表明，该方法能快速准确地检测到较完整的目标信息，在动态场景的行人检测取得了较好的效果。
장시빈감공기술응용우교통신식획취여처리，해결행인안전문제，이성위지능교통계통중적일항관건기술。위정준지제취교통장경어의신식，제출료융합시역화공역신식적행인검측산법。통과상린다정시역변화화Canny변연검측산법득도초시검측엄모도상，해결차치국부화화조성문제；제취공역신식시，인입이차중구화내외표기기술대제도도상진행수정화분수령변환，득도공역엄모도상，유효지제고공역분할정도，소제과분할현상；최후장량자결과진행융합화형태학수정，제취출교통장경도상중적운동행인。이북경남참위례진행실험분석，결과표명，해방법능쾌속준학지검측도교완정적목표신식，재동태장경적행인검측취득료교호적효과。
The video surveillance technology is a key part in the intelligent transportation for traffic information acquiring and safe-ty problem solving.A pedestrian detection algorithm,combining time-domain and spatio-domain,is proposed to accurately ex-tract traffic information.To solve the difference localization and noise problem,a rough motion mask is obtained based on the temporal change of adj acent frames and the canny edge detection.Spatial mask image is received by introducing technologies of quadratic reconstruction,internal-external marker and watershed transformation.It improves airspace segmentation accuracy and eliminate over-segmentation.Finally,an accurate motion pedestrian mask is obtained by integrating the rough mask and spatial mask image.The experiment based on Beij ing South Station video shows that target information could be completely and exactly detected,and the pedestrian detection results in dynamic traffic scene are satisfactory.