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Conclusions

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Abstract

In this book an innovative methodology to implement systems for high semantic level analysis in the narrow domain has been presented. The methodology proposes a double context switch. The first one is from human motion to barycenter trajectory and is a well known and accepted method in literature. The second one is an original contribute of this book and is from trajectory to word. It is based on the domain of application of this methodology, namely the narrow domain. The external knowledge is introduced into the system by labeling with a set of symbols the various areas in which the scene is partitioned. The trajectory encoder produces a word for each trajectory. The portion of the trajectory falling into a given area is coded using the label of that area. In this way, a trajectory is transformed into a word by means of the concatenation of all symbols labeling the areas on which the curve lies. Furthermore, since the trajectory encoder has a time driven behavior, this methodology is able to handle the issues related to the different execution times of the actions.

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Correspondence to Vincenzo Piuri .

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© 2013 Springer Science+Business Media New York

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Amato, A., Di Lecce, V., Piuri, V. (2013). Conclusions. 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_7

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  • DOI: https://doi.org/10.1007/978-1-4614-5486-1_7

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-5485-4

  • Online ISBN: 978-1-4614-5486-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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