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Extracting high level features is an important field in video indexing and retrieving. Identifying the presence of human in video is one of these high level features, which facilitate the understanding of other aspects concerning people or the interactions between people. The work proposes a method for identifying the presence of human in videos. The proposed algorithm detects the human face based on the color and motion information extracted from frames over wide range of variations in lightning conditions, skin color races, backgrounds and faces' sizes and orientations. Experimental results demonstrate the successfulness of the algorithm used and its capability in detecting faces under different challenges. The proposed work is crucial in lots of applications whose concern is mainly human activities and can be a basic step in such activities.
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