2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:TA-P1.4
Session:Video Surveillance I / Document Image Processing & Analysis
Time:Tuesday, September 18, 09:50 - 12:30
Presentation: Poster
Title: USING CALIBRATED CAMERA FOR EUCLIDEAN PATH MODELING
Authors: Imran Junejo; University of Central Florida 
 Hassan Foroosh; University of Central Florida 
Abstract: In this paper, we address the issue of Euclidean path modeling in a single camera for activity monitoring in a multi-camera video surveillance system. The paper proposes to use calibrated cameras to detect unusual object behavior. During the unsupervised training phase, after metric rectifying the input trajectories, the input sequences are registered to the satellite imagery and prototype path models are constructed. During the testing phase, using our simple yet efficient similarity measures, we seek a relation between the input trajectories derived from a sequence and the prototype path models. Real-world pedestrian sequences are used to demonstrate the practicality of the proposed method.



©2016 Conference Management Services, Inc. -||- email: webmaster@icip2007.com -||- Last updated Friday, August 17, 2012