Visual Tracking: Geometric Fitting and Filtering

视觉跟踪：几何拟合和过滤

• 批准号: DP0452416
• 负责人: Prof David Suter
• 金额: $ 14万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2004
• 资助国家: 澳大利亚
• 起止时间: 2004-03-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0452416
• 关键词: Visual; Tracking; Geometric; Fitting; Filtering

One of the most elementary things that people and sighted animals do is to follow moving objects with their eyes. Movement is a cue to the importance and relevance of objects in a scene. Visually tracking objects allows the determination of important characteristics - distance to the object, shape of the object, likely behaviour of the object etc. Though systems have been built that can perform visual tracking: accuracy and reliability must be improved though a better understanding of the underlying processes. Applications include visual inspection (industrial automation), surveillance (civil and military), robot vision for scene understanding and navigation, multimedia production (automatic human motion capture for example), and human computer interfaces.

人和有视力的动物所做的最基本的事情之一就是用眼睛跟随移动的物体。运动是对场景中物体重要性和相关性的提示。视觉跟踪物体可以确定重要的特征——物体的距离，物体的形状，物体的可能行为等。虽然已经建立了可以进行视觉跟踪的系统，但必须通过更好地了解底层过程来提高准确性和可靠性。应用包括视觉检测（工业自动化）、监视（民用和军用）、用于场景理解和导航的机器人视觉、多媒体制作（例如自动人体动作捕捉）和人机接口。