Abstract
This chapter describes the second and most important original contribution of this book namely a methodology to implement systems suitable for high semantic level analysis of video streaming recorded into a narrow domain. This methodology is independent by the method proposed into the previous chapter. Since the latter improves the performance of the object tracking algorithm, the former works with or without the latter. This methodology can work also using single camera systems. The chapter starts with a brief problem overview and then presents the proposed methodology.
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© 2013 Springer Science+Business Media New York
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Amato, A., Di Lecce, V., Piuri, V. (2013). Semantic Analysis. In: Semantic Analysis and Understanding of Human Behavior in Video Streaming. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5486-1_5
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DOI: https://doi.org/10.1007/978-1-4614-5486-1_5
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-5485-4
Online ISBN: 978-1-4614-5486-1
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