Height Prediction Mechanism for Smart Surveillance Systems


KIPS Transactions on Computer and Communication Systems, Vol. 3, No. 7, pp. 241-244, Jul. 2014
10.3745/KTCCS.2014.3.7.241, Full Text:

Abstract

Wireless Sensor Network(WSN) has been attracting lots of interest in recent years for smart surveillance systems. WSN-based surveillance systems need to figure out the occurrence or existence of events or objects and to find out where the events have occurred or the objects are present. In our surveillance system, it is needed to give an alarm only when the detected object is human (not pets or rodents) for reducing false alarms and improving the system reliability. In this paper, we propose a height prediction mechanism to determine if the detected object is human using Heron``s formula. Finally, we verify the performance of our proposed mechanism through various experiments.


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Cite this article
[IEEE Style]
J. S. Shim and Y. J. Lim, "Height Prediction Mechanism for Smart Surveillance Systems," KIPS Transactions on Computer and Communication Systems, vol. 3, no. 7, pp. 241-244, 2014. DOI: 10.3745/KTCCS.2014.3.7.241.

[ACM Style]
Jae Seok Shim and Yu Jin Lim. 2014. Height Prediction Mechanism for Smart Surveillance Systems. KIPS Transactions on Computer and Communication Systems, 3, 7, (2014), 241-244. DOI: 10.3745/KTCCS.2014.3.7.241.