Abstract
This chapter proposes an overview of the literature about the automatic human behavior analysis using streaming video. The discussion starts presenting the processing chain used to implement such kind of systems and then the attention is focused only on the works aiming at semantic analysis. The works presented in this chapter are classified in: scene interpretation, human recognition and action primitives and grammars.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this chapter
Cite this chapter
Amato, A., Di Lecce, V., Piuri, V. (2013). Related Work. 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_3
Download citation
DOI: https://doi.org/10.1007/978-1-4614-5486-1_3
Published:
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)