Tracking objects using recognition
Tracking objects using recognition
复制标题
使用识别来跟踪物体
DOI：
10.1109/icpr.2002.1048480
复制
发表时间：
2002
期刊：
影响因子：
--
通讯作者：
I. Green
中科院分区：
文献类型：
--
作者：
R. Nelson;I. Green
跟踪通常被认为是一种逐帧操作。因此，对象识别技术通常太慢，不能用于跟踪。然而，在某些域中，感兴趣的对象大部分时间都不会移动。在这些领域中，可以观察场景中的活动，然后应用对象识别技术来找到对象的新位置。这使得跟踪成为一个观察物体失踪和再现的离散过程。我们已经开发了一种记忆辅助工具，它使用这种方法来帮助轻度到中度记忆丧失的人跟踪房子周围的重要物品。该系统目前已部署在智能家居原型中。
Tracking is frequently considered a frame-to-frame operation. As such, object recognition techniques are generally too slow to be used for tracking. There are domains, however where the objects of interest do not move most of the time. In these domains, it is possible to watch for activity in the scene and then apply object recognition techniques to find the object's new location. This makes tracking a discrete process of watching for object disappearances and reappearances. We have developed a memory assistance tool that uses this approach to help people with slight to moderate memory loss keep track of important objects around the house. The system is currently deployed in a prototype smart home.
DOI：
10.1109/34.868684
发表时间：
2000-08-01
影响因子：
23.6
作者：
Oliver, NM;Rosario, B;Pentland, AP
通讯作者：
Pentland, AP