用移动摄像机跟踪物体

P. Burt, J. Bergen, R. Hingorani, R. Kolczynski, W.A. Lee, A. Leung, J. Lubin, H. Shvayster
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引用次数: 201

摘要

作者描述了动态运动分析框架的局部和焦点级别的实现。动态运动分析通过将复杂的分析任务依次分解为更简单的任务,通过“剥离复杂性”,并通过将分析指导到对视觉任务最关键的场景部分来实现效率。作者描述了实现动态分析的四种基本技术:注视点、两阶段运动计算、跟踪和一次一分量分割。每个过程都需要对基本操作进行多次迭代,但收敛速度很快,计算本身可能相对粗糙。通过实例,将动态运动分析技术应用于一系列图像序列。特别注意的是一个实际的视频序列的直升机飞越地形。该序列是由相对于直升机移动的摄像机获得的。结论是,运动分析的动态方法有望使用实用的硬件进行实时处理,以获得精确,稳健的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object tracking with a moving camera
The authors describe the implementation of the local and focal levels of a dynamic-motion-analysis framework. Dynamic motion analysis achieves efficiency through sequential decomposition of a complex analysis task into simpler tasks, by 'peeling off complexity', and by directing analysis to portions of a scene that are most critical to the vision task. The authors describe four basic techniques for implementing dynamic analysis: foveation, two-stage motion computation, tracking, and one-component-at-a-time segmentation. Each process entails several iterations of a basic operation but convergence is fast and the computations themselves can be relatively crude. By way of illustration, the dynamic motion analysis technique was applied to a number of image sequences. Particular attention is given to an actual video sequence of a helicopter flying over a terrain. The sequence was obtained from a camera moving relative to the helicopter. It is concluded that the dynamic approach to motion analysis holds the promise of performing real-time processing to obtain precise, robust results, using practical hardware.<>
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