摘要
针对传统的PTZ摄像机跟踪运动目标时依靠人工操作,无法连续、实时动态跟踪,甚至导致跟踪失败的缺点,提出以HSV颜色直方图作为模型特征,通过Camshift算法和卡尔曼滤波器实现运动目标的定位和预测补偿,运用闭环控制机制自动调节云台的转动和镜头的变倍,提高了系统的实时性。通过Android智能手机手动调节云台和镜头,配合自动跟踪系统,使跟踪效果更准确。结果表明:该方法是可行的,具有控制简单、定位准确的优点,能提高目标跟踪的实时性和可靠性。
According to the defects of tracking moving object by PTZ camera, such as relying on manual operation, unrealtime and uncontinuous tracking, almost leading to the failture of tracking, a new intelligent control system was designed by using HSV color histogram as model feature. Then and Kalman filter model was adopted to estimate the was used to controll PTZ camera platform movement Camshift algorithm was adopted to realize object tracking location moving object location of the next time. Finally closed loop idea and lens antomatic zoom. The new system improves the real-time performance. Cooperating with the intelligent control system, the effect of tracking is more accurate by controlling the PTZ camera with Android smart phone. The results show that the method is feasible, has the advantages of simple control and remaining correct location,and it also can improve real-time performance and reliability of object tracking.
出处
《计算机科学》
CSCD
北大核心
2015年第B11期135-139,共5页
Computer Science
