Abstract
This chapter covers the fundamentals in intelligent surveillance, i.e., what intelligent surveillance is, what elements should be included in a surveillance system, and how to implement such a surveillance system. There are three main phases; each of them shows the evolution in this field. Substantially, sensor deployment and calibration will be stressed in the second half of this chapter; networked camera settings, multi-sensor calibration (Collins et al., Proc IEEE 89(10):1456–1475, 2001), image distortion and its corrections, etc. will be covered (Collins et al., Proc IEEE 89(10):1456–1475, 2001). Automated calibration of multiple sensors (Zhang, IEEE Trans Pattern Anal Mach Intell 22(11):1330–1334, 2000) will be formatted in mathematical way. In this chapter, we will overview the core issues and demonstrate advanced understanding of the state-of-the-art theories and technologies in intelligent surveillance.
Keywords
- Intelligent Surveillance
- Sensor Deployment
- Kruppa Equations
- Scale Invariant Feature Transform (SIFT)
- Single-tier Network
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). Introduction. In: Introduction to Intelligent Surveillance. Springer, Cham. https://doi.org/10.1007/978-3-319-60228-8_1
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DOI: https://doi.org/10.1007/978-3-319-60228-8_1
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