The tracking technology of the moving object has been an active topic of the visual tracking system. In this paper, the
tracking algorithms are classified into four classes: correlation-based methods, boundary-based methods, model-based
methods and multifunctional methods. Based on the analysis of the advantages and disadvantages of all these algorithms,
a new tracking algorithm, integrating SSDA and advanced Camshift algorithm, is put forward here.
A new projecting pattern is designed based on the principle of Pseudo-Random coding in this paper, and its decoding
method is also studied according to Mathematical Morphology. Here, we initiate a new way which makes the feature
points of two adjacent windows to validate with each other. By this way, we not only assure the validity of the matching
result, but also resolve the problems of shadowing when the coded structured light is projected into the surface of the
complex 3D scene, and overlapping of some parts of coding picture because of the different shooting angles of the
camera, which results in the matching error of the feature points. The results of the experiments prove that the method
has the advantages of simplicity and high speed. Through this approach, we can realize the automatic extracting and
matching of the feature points with high accuracy.
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