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Motion Analysis in Biological and Computer Vision Systems

生物和计算机视觉系统中的运动分析

基本信息

批准号：
8719394
负责人：
Tomaso Poggio
金额：
$ 51.54万
依托单位：
Massachusetts Institute of Technology
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
1988
资助国家：
美国
起止时间：
1988-06-15 至 1992-05-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=8719394&HistoricalAwards=false
关键词：
Motion Analysis Biological Computer Vision

项目摘要

The measurement and use of visual motion is a fundamental component of biological and machine vision systems that provides essential sensory information for tasks such as navigation, object manipulation and recognition. Significant advances have been made toward understanding how vision systems might solve the individual problems of detecting sudden movements, segmenting the scence into distinct objects on the basic of motion discontinuities, tracking objects of interest, recovering the three-dimensional structure and movement of object surfaces, and inferring their own movement relative to the environment. This research examines how solutions to these problems are integrated into a motion analysis that performs these functions with speed, accuracy, reliability and flexibility. Such a system must embody multiple computational strategies that combine fast and robust methods for deriving qualitative motion information with slower, accurate methods for deriving quantitative models of three- dimensional structure and motion. The approach taken in this project brings together theoretical analyses, implementation and testing of computer algorithms, and observations on human motion perception. This research will lead both to significant improvements in the performance of computer vision systems at analyzing dynamic images, and new understanding of motion analysis in the human visual system.

视觉运动的测量和使用是一个基本的生物和机器视觉系统的组成部分，提供用于诸如导航等任务的基本感官信息，对象操作和识别。了重大进展一直致力于理解视觉系统如何解决检测突然的运动，分割在运动的基础上把场景分解成不同的物体不连续性，跟踪感兴趣的对象，恢复物体表面的三维结构和运动，以及推断出它们自身相对于环境的运动。这研究探讨如何将这些问题的解决方案转化为一个运动分析，它能快速地执行这些功能，准确性、可靠性和灵活性。这样的制度必须体现多种计算策略，结合了联合收割机的快速性和稳健性用于以较慢的速度导出定性运动信息的方法，精确的方法来推导定量模型的三个- 空间结构和运动。在这方面采取的方法该项目汇集了理论分析，实施和测试计算机算法，观察人体运动 perception. 这项研究将导致双方的重大计算机视觉系统性能的改进. 分析动态图像，以及对运动的新理解分析人类视觉系统。