Abstract
People counting is an important task in visual-based surveillance system. The task of people counting is not easy to solve problems. In this paper, the author has proposed a method for people counting which identify the objects present in a scene of conference into two classes: empty seat and non-empty seat. The proposed method based on saliency map and color smoothing in shearlet domain. The author uses shearlet transform and combine of adaboost with support vector machine for classifiers and people counting. The proposed method is simple but the accuracy of people counting is high.
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Acknowledgment
This research is funded by Vietnam National University Ho Chi Minh City (VNU-HCM) under grant number C2015-20-08.
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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Thanh Binh, N. (2016). People Counting in Conference Scenes in Shearlet Domain. In: Vinh, P., Barolli, L. (eds) Nature of Computation and Communication. ICTCC 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 168. Springer, Cham. https://doi.org/10.1007/978-3-319-46909-6_33
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DOI: https://doi.org/10.1007/978-3-319-46909-6_33
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