Moving object tracking in video
Moving object tracking in video
复制标题
视频中的移动物体跟踪
DOI：
10.1109/aiprw.2000.953609
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发表时间：
2000
期刊：
影响因子：
--
通讯作者：
R. E. V. Dyck
中科院分区：
文献类型：
--
作者：
Yiwei Wang;J. Doherty;R. E. V. Dyck
技术的进步使得视频采集设备性能更好，成本更低，从而增加了能够有效利用数字视频的应用。与静止图像相比，视频序列提供了更多关于对象和场景如何随时间变化的信息。但是，视频需要更大的存储空间和更宽的传输带宽。因此提出了视频压缩的问题。mpeg4压缩标准建议使用对象平面。如果对目标平面进行正确的分割，并相应导出每个目标平面的运动参数，可以获得更好的压缩比。因此，为了充分发挥mpeg4标准的优势，需要对目标进行跟踪的算法。为此，我们提出了一种跟踪视频序列中运动物体的算法。该算法首先在每一帧中将运动物体从背景中分离出来。然后，根据物体的位置、大小、灰度分布和纹理存在情况计算四组变量。开发了一种基于规则的方法，根据变量的值来跟踪帧之间的对象。初步实验结果表明，该算法具有良好的性能。实验还表明，该算法在指示新轨道、停止轨道和可能发生的碰撞方面取得了成功。
The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time. However, video needs more space for storage and wider bandwidth for transmission. Hence is raised the topic of video compression. The MPEG 4 compression standard suggests the usage of object planes. If the object planes are segmented correctly and the motion parameters are derived for each object plane accordingly, a better compression ratio can be expected. Therefore, to take full advantage of the MPEG 4 standard, algorithms for tracking objects are needed. So, we propose an algorithm to track moving objects in video sequences. The algorithm first separates the moving objects from the background in each frame. Then, four sets of variables are computed based on the positions, the sizes, the grayscale distributions and the presence of textures of the objects. A rule-based method is developed to track the objects between frames, based on the values of the variables. Preliminary experimental results show that the algorithm performs well. The tests also show that the algorithm obtains success in indicating new tracks, ceased tracks and possible collisions.