Real-time object tracking using multi-res. critical points filters
نویسندگان
چکیده
Abs t rac t In this paper, we will propose a new method for object tracking, which is primarily based on the results from prof. Shinagawa's iniage matching. We will provide a method that tracks an object and follows it in real-time throagh a sequence of images which are given, for example, by a robotic camera. The main feature of the method is that it is not affected by the movements (within a certain reasonable range) of the camera or the object; such as, translation, rotation or scaling. The algorithm is also insensible to regular changes of the object's shape. For real-time applications, the algorithm allows the tracking of an object thmugh a sequence of 64*64 images, at a rate of over 8 fmmes/second.
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