移动对象跟踪使用本地窗口

M. Celenk, H. Reza
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引用次数: 3

摘要

作者描述了一种新的技术,用于分析由固定相机拍摄的一系列时变图像。该算法分为三个阶段:(1)运动检测,(ii)目标定位,(iii)轨迹跟踪。在第一阶段,比较两个连续的图像,并形成一个差分图像来检测任何运动的存在。然后在差图像中定义一个子图像作为分析运动的活动区域。在第二阶段,将子图像与前一帧和后一帧进行比较。在每个单独的图像中确定包含对象的局部窗口。然后在最后阶段使用这些窗口来跟踪移动对象的轨迹。它们的质心点被计算并绘制在二维平面上。使用复杂场景中移动物体的真实图像,对该方法进行了快速和慢动作的测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Moving object tracking using local windows
The authors describe a novel technique for the analysis of a sequence of time-varying images taken by a stationary camera. The proposed algorithm is divided into the three stages: (1) motion detection, (ii) object location, and (iii) trajectory tracing. In the first stage, two consecutive images are compared, and a difference image is formed to detect the presence of any motion. A subimage is then defined in the difference image as the active region in which the motion is analyzed. In the second stage, the subimage is compared with both previous and next frames. The local windows enclosing the object are determined in each respective image. These windows are then used in the last stage for tracing the trajectory of the moving object. Their center-of-mass points are computed and plotted on a two-dimensional plane. The approach is tested for both fast and slow motion cases using real-world images of moving objects in complex scenes.<>
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