Abstract
In this chapter, we will introduce surveillance data capturing using Finite State Machine (FSM) and critically evaluate the major technology of surveillance data compression. FSM has been used in the case of transmissions between different states within a system. It is important to study FSM in intelligent surveillance because FSM is an approach to bridge the gap between our real world and semantic space by using events. Moreover, a surveillance system records monitoring data all day long; to effectively tackle the input data of surveillance systems, technologies of data compression are indispensable which will be detailed at the second half of this chapter.
Keywords
- Moving Picture Experts Group (MPEG)
- Iterated Function Systems (IFS)
- Motion JPEG (M-JPEG)
- Performance Evaluation Of Tracking And Surveillance (PETS)
- MPEG Video Compressions
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Yan, W.Q. (2017). Surveillance Data Capturing and Compression. In: Introduction to Intelligent Surveillance. Springer, Cham. https://doi.org/10.1007/978-3-319-60228-8_2
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DOI: https://doi.org/10.1007/978-3-319-60228-8_2
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