井冈山大学学报（自然科学版）
井岡山大學學報（自然科學版）
정강산대학학보（자연과학판）
JOURNAL OF JINGGANGSHAN UNIVERSITY(SCIENCE AND TECHNOLOGY)
2013年
4期
46-51
,共6页
智能交通系统%车流量%虚拟线圈%目标跟踪
智能交通繫統%車流量%虛擬線圈%目標跟蹤
지능교통계통%차류량%허의선권%목표근종
intelligent transport system%traffic flow%virtual loop%target tracking
车流量统计作为智能交通系统的关键技术之一，逐渐成为研究的热点。主要研究了基于虚拟线圈的车流量统计算法和基于目标跟踪的车流量统计算法，综合了两种算法的优势，结合Canny算子边缘检测算法、均值背景建模法和背景差分法等技术，提出了一种基于质心的车流量统计综合算法。实验结果表明综合算法在实时性和准确性方面均取得较好的实验结果。
車流量統計作為智能交通繫統的關鍵技術之一，逐漸成為研究的熱點。主要研究瞭基于虛擬線圈的車流量統計算法和基于目標跟蹤的車流量統計算法，綜閤瞭兩種算法的優勢，結閤Canny算子邊緣檢測算法、均值揹景建模法和揹景差分法等技術，提齣瞭一種基于質心的車流量統計綜閤算法。實驗結果錶明綜閤算法在實時性和準確性方麵均取得較好的實驗結果。
차류량통계작위지능교통계통적관건기술지일，축점성위연구적열점。주요연구료기우허의선권적차류량통계산법화기우목표근종적차류량통계산법，종합료량충산법적우세，결합Canny산자변연검측산법、균치배경건모법화배경차분법등기술，제출료일충기우질심적차류량통계종합산법。실험결과표명종합산법재실시성화준학성방면균취득교호적실험결과。
Statistics of the traffic flow, as one of the key technology of intelligent transportation system, gradually become a research hotspot. We mainly studied two kinds of existing algorithms for statistics of the traffic flow:traffic statistics algorithm based on virtual loop and traffic statistics algorithm based on target tracking. Furthermore, we integrated the advantages of both methods and combined with some technology Canny operator edge detection algorithm, the mean background modeling method and background difference method. Finally, we proposed an improved traffic statistics algorithm based on mass. Experimental results show that integrated algorithm achieves good results in real-time and accuracy.
