【摘要】 针对异常事件监控的需求,提出一种运动目标跟踪算法。该算法首先运用背景减法检测出运动目标,然后运用SURF(speeded-up robust features)对运动目标进行特征提取和特征匹配,结合扩展卡尔曼滤波器(EKF)实现目标跟踪。实验结果表明,该算法能够有效地解决静态场景下异常事件监控等问题,具有较好的实时性和鲁棒性。更多还原

【Abstract】 Aiming at the requirement of abnormal event monitoring system,an object tracking algorithm is introduced.The algorithm firstly uses the background subtraction algorithm to detect moving targets,and then uses Speeded-Up Robust Features(SURF)to extract and match features,combined with Extended KalmanFilter(EKF)to track objectives.The experimental results show that the algorithm is an effective solution to the background of change,with good real-time and robustness.更多还原