By Topic

A Proposal of Method for Suspicious Person Detection on P2P Security Camera Network System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Choho, A. ; Grad. Sch. of Software & Inf. Sci., Iwate Prefectural Univ., Iwate, Japan ; Sato, N. ; Takayama, T. ; Murata, Y.

Recently, the communication among neighbors is now rare, and is become difficult to watch for suspicious person by neighbor residents themselves. Therefore, we proposed a P2P Security Camera Network System that is detects suspicious person by using video data recorded by a camera on neighbor houses. In this paper, we propose four ways to detect suspicious persons based on classification methods using Local Outlier Factor (LOF) for trajectories of moving objects. And, we evaluate proposing methods the effects of useful dimensions and the number of incorrect judgment result on classification of trajectory pattern of moving objects.

Published in:

Advanced Information Networking and Applications Workshops (WAINA), 2012 26th International Conference on

Date of Conference:

26-29 March 2012