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5 CONCLUSIONS
In this paper, we have presented a real-time method
for counting people in crowded scenes based on a
statistical approach. We took advantage of the work
achieved by Albiol et al. in this field, and we proved
that with minor changes, significant improvement in
accuracy could be accomplished. Furthermore, we
maintained the robustness, simplicity, and
computational efficiency of their algorithm.
The experiments undertaken on a new and more
challenging dataset of video sequences confirmed
the accuracy of the proposed technique in indoor and
outdoor scenarios, and under different viewing and
weather conditions. It also revealed its ability to
handle partial occlusions and perspective effects up
to a certain extent especially in crowded conditions.
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