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Efficiency and accuracy are the most important terms for human activity recognition. Most of the existing works have the problem of speed. This paper proposed an efficient algorithm to recognize the activities of the human. There are three stages of this paper, segmentation, feature extraction and recognition. In this paper our contribution is in segmentation stage (based on morphological dilation)...
In the field of image segmentation, because of the exist of the noise dot and misjudgment, hollows and the unexpected image are unavoidable. In order to get a high quality segmented image the process of connected component analysis is necessary. This paper proposed a new algorithm that used a kind of tree-structure named max-tree, the experiment shows this method has a high practical value.
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