Abstract
The human skill of giving a meaning to perceived movements attracted the interest of many researchers aiming to reproduce such an ability through artificial systems. Their general goal was to design artificial devices able to monitor an environment and to recognize actions or behaviours occurring within it. Some proposals and implementations were based only on a typical engineering approach and tried to discover more and more powerful techniques for action recognition, engaging in the research of the best possible methods to detect suitable image features. Often underlying these techniques there is the requirement of existence of individual properties that can be extracted from each frame of an image sequence. These approaches accomplish the motion understanding by recognizing a sequence of static configurations.
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Penna, M.P., Zandonà, D., Montesanto, A., Bonfiglio, N.S. (2002). Meaning Extraction from the Analysis of Video-Registrations of Human Movements. In: Minati, G., Pessa, E. (eds) Emergence in Complex, Cognitive, Social, and Biological Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0753-6_20
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DOI: https://doi.org/10.1007/978-1-4615-0753-6_20
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