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跟踪隐形:学习物体的位置

Tracking the Invisible: Learning Where the Object Might Be
课程网址: http://videolectures.net/cvpr2010_grabner_tti/  
主讲教师: Helmut Grabner
开课单位: 苏黎世联邦理工学院
开课时间: 2010-07-19
课程语种: 英语
中文简介:
对象通常嵌入到上下文中。视觉上下文已成功用于对象检测任务,但在对象跟踪中经常被忽略。我们提出了一种方法来学习支持者,这些支持者暂时只能用于确定感兴趣对象的位置。我们的方法利用了General Hough Transformstrategy。它将支持者与目标联系起来,并自然地区分强弱耦合的情绪。这样,当不直接看到物体(例如,完全遮挡或在图像区域外)或者当它快速且显着地改变其外观时,可以估计物体的位置。实验表明在无模型跟踪以及跟踪“虚拟”点(例如医疗应用)中的实质性改进。
课程简介: Objects are usually embedded into context. Visual context has been successfully used in object detection tasks, however, it is often ignored in object tracking. We propose a method to learn supporters which are, be it only temporally, useful for determining the position of the object of interest. Our approach exploits the General Hough Transform strategy. It couples the supporters with the target and naturally distinguishes between strongly and weakly coupled motions. By this, the position of an object can be estimated even when it is not seen directly (e.g., fully occluded or outside of the image region) or when it changes its appearance quickly and significantly. Experiments show substantial improvements in model-free tracking as well as in the tracking of “virtual” points, e.g., in medical applications.
关 键 词: 强弱耦合; 无模型跟踪; 对象检测
课程来源: 视频讲座网
最后编审: 2019-03-13:chenxin
阅读次数: 52