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In this work, we consider the problem of tracking markers in sequences of images for the human movement analysis. The images are captured from a common CCD camera in a non-supervised environment. As we will see, the image processing chain consists mainly of morphological segmentation, prediction, and matching operations.
We define a morphological algorithm to combine two overlapping images into a single one by a process named photomosaicking. By means of a very powerful morphological operation, namely, the watershed transformation, the method described here considers global information of a correlation image to obtain a seam which is connected, irregular and, thus, more realistic than those defined by the existing...
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