WSN-Based Height Estimation of Moving Object in Surveillance Systems
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초록

In the WSN- (wireless sensor network-) based surveillance system to detect undesired intrusion, all detected objects are not intruders. In order to reduce false alarms, human detection mechanism needs to determine if the detected object is a human. For human detection, physical characteristics of human are usually used. In this paper, we use the physical height to differentiate an intruder from detected objects. Using the measured information from sensors, we estimate the height of the detected object. Based on the height, if the detected object is decided as an intruder, an alarm is given to a control center. The experimental results indicate that our mechanism correctly and fast estimates the height of the object without complex computation.

키워드

CLOSED-FORMLOCALIZATION
제목
WSN-Based Height Estimation of Moving Object in Surveillance Systems
저자
Shim, JaeseokLim, Yujin
DOI
10.1155/2016/2127593
발행일
2016-10
유형
Article
저널명
Mobile Information Systems
2016