Abstract
In this paper, a new network-based (NB) algorithm is proposed for human group activity recognition in videos. The proposed NB algorithm introduces three different networks for modeling the correlation among people as well as the correlation between people and the surrounding scene. With the proposed network models, human group activities can be modeled as the package transmission process in the network. Thus, by analyzing the energy consumption situation in these specific “package transmission” processes, various group activities can be effectively detected. Experimental results demonstrate the effectiveness of our proposed algorithm.
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Li, G., Lin, W., Zhang, S., Wu, J., Chen, Y., Wei, H. (2013). A New Network-Based Algorithm for Human Group Activity Recognition in Videos. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35725-1_15
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DOI: https://doi.org/10.1007/978-3-642-35725-1_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35724-4
Online ISBN: 978-3-642-35725-1
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