A New Adaptive Zoom Algorithm for Tracking Targets Using Pan-Tilt-Zoom Cameras

H. Shah, D. Morrell
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引用次数: 1

Abstract

We present a new method to adaptively configure the focal-length of a pan-tilt-zoom camera to track a point target with improved accuracy. The target tracker is implemented by using a Rao-Blackwellized particle filter. The focal-length of the camera is configured to include a time varying percentage of the projected particles on the camera image plane. The performance of the adaptive zoom algorithm was evaluated using Monte Carlo simulations and found to significantly reduce tracking errors compared to a previous method presented by the same authors
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一种新的泛倾斜变焦相机目标跟踪自适应变焦算法
提出了一种自适应配置平移变焦相机焦距的方法,提高了相机对点目标的跟踪精度。目标跟踪器采用rao - blackwelzed粒子滤波实现。相机的焦距配置为包括相机图像平面上投影粒子的随时间变化的百分比。通过蒙特卡罗模拟对自适应变焦算法的性能进行了评估,发现与同一作者先前提出的方法相比,该算法显著减少了跟踪误差
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