Abstract
Panic expression is one of the most important features of facial recognition in the present era, and it has become a burning issue. It is very difficult to segregate a people whether he or she is in the normal position or barring unexpected circumstances that has occurred abruptly. Over the past 50 years, different researchers have developed human-observer based methods that can be used to classify and correlate facial expressions with human sensation. In this paper we proposed a novel methodology based on histogram classification for extraction of panic moment of a human being. Firstly, we have considered face-mask to collect the maximum information from human face. Then we have set the three coordinate positions for storing the data as a panic-info-mask. Finally, the geometrical value of panic-info-mask represents the data of panic moment.
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Hossain, M.A., Samanta, D., Sanyal, G. (2012). Extraction of Panic Expression from Human Face Based on Histogram Approach. In: Venugopal, K.R., Patnaik, L.M. (eds) Wireless Networks and Computational Intelligence. ICIP 2012. Communications in Computer and Information Science, vol 292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31686-9_48
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DOI: https://doi.org/10.1007/978-3-642-31686-9_48
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