摘要
针对公共重点区域的智能监视问题,提出了一种新的徘徊行为异常检测方法。该方法利用视频目标跟踪算法得到可疑行人的运动轨迹,通过曲线拟合对运动目标的离散点轨迹进行平滑,计算离散点的离散曲率,计算感兴趣区域内运动目标轨迹点的离散曲率的熵及方差,通过离散熵阈值比较进行徘徊行为判断,该方法只需计算运动目标的轨迹,无需建立样本库,实验证明了该方法的有效性、实时性。
In order to solve the intelligent monitoring problem,a novel method is introduced for loitering detection.Moving object is detected and tracked using tracking algorithm.This mothod gets the trajectory of moving object,smoothes the trajectory using curve fitting,and gets the discrete curvature and the entropy.Loitering detection is accomplished by judging threshold value.The method has no database for samples.Experiments demonstrate the efficiency of the proposed method.
出处
《计算机工程与应用》
CSCD
2013年第18期164-166,216,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.60772122)
博硕士队伍建设计划(No.02203105)
安徽省教育厅自然科学研究基金资助重大项目(No.KJ2011ZD10)
关键词
徘徊行为
异常检测
曲线拟合
离散熵
loitering detection
abnormal detection
curve fitting
discrete curvature entropy
