Abstract
This paper presents a novel technique of using depth maps to recognize activities involving two persons. Very simple depth map based features are used to reduce processing power requirement. Kinect®SDK is used to identify the skeleton of up to two persons in the scene. Shape and temporal features are extracted from the region of interest. These features are subsequently passed to SVM Classifier for training and classification.
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References
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© 2012 Springer-Verlag Berlin Heidelberg
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Anupam, Biswas, K.K., Shukla, A., Pandey, R.K. (2012). Depth Map Based Recognition of Activities Involving Two Persons. In: Parashar, M., Kaushik, D., Rana, O.F., Samtaney, R., Yang, Y., Zomaya, A. (eds) Contemporary Computing. IC3 2012. Communications in Computer and Information Science, vol 306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32129-0_50
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DOI: https://doi.org/10.1007/978-3-642-32129-0_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32128-3
Online ISBN: 978-3-642-32129-0
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