Introduction to Intelligent Surveillance pp 119-127 | Cite as
Surveillance Alarm Making
Chapter
First Online:
Abstract
Surveillance systems are monitoring human behavior (pedestrians, vehicles, vessels, etc.) of our community as well as natural disasters of this world (wide fire, flooding, tsunami, earthquake on earth, etc.) for the sake of safty. Correspondingly alarming functionalities of surveillance systems should be set at everywhere in any time. Particularly, well-designed alarming algorithms will trigger the alarming system and reduce the annoying false alarms. In this chapter, we will critically review and justify surveillance alarming algorithms using decision-making approaches so as to save security staff’s workload.
Keywords
Decision Tree Expert System Random Forest Inference Engine Decision Node
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.
Copyright information
© Springer International Publishing Switzerland 2016