| Summary: | 碩士 === 國立中正大學 === 電機工程研究所 === 105 === Object tracking is an important research field in computer vision in that it continuously identifies and records objects of interest in video frames.
This thesis attempts to do object tracking using only low-level image features. The basic idea is to employ the low-level features to compose the so-called singular points, and to use these singular points as the basis for matching the object of interest in adjacent image frames. We demonstrate that if the tracking region surrounding the object of interest is well defined and maintained, the proposed method can provide effective tracking even under the conditions of minor obscurity, deformation, and re-entry.
|
|---|
