Paper Info
Title
Active people tracking by a PTZ camera in IP surveillance system
Abstract
In this paper, we propose a fuzzy feature-based method for online body tracking using an IP PTZ camera. Because the camera uses a built-in Web server, camera control entails response time and network delays, and thus, the frame rate is irregular and generally low (3-7 fps). Our method has been designed specifically to perform in such conditions. It detects in every frame, candidate targets by extracting moving targets using optical flow, a sampling method, and appearance. The target is detected among samples using a fuzzy classifier. Results show that our system has a good target detection precision (> 93%), and low track fragmentation.
Year
DOI
Venue
2009
10.1109/ROSE.2009.5355997
Lecco
Keywords
Field
DocType
IP networks,delays,fuzzy set theory,image sequences,object detection,video cameras,video surveillance,IP PTZ camera,IP surveillance system,active people tracking,built-in Web server,camera control,fuzzy classifier,fuzzy feature-based method,moving target extraction,network delays,online body tracking,optical flow,sampling method,time delays
Computer vision,Object detection,Histogram,Computer science,Fuzzy logic,Response time,Fuzzy set,Real-time computing,Artificial intelligence,Frame rate,Optical flow,Web server
Conference
ISBN
Citations 
PageRank 
978-1-4244-4778-7
6
0.61
References 
Authors
11
2
Name
Order
Citations
PageRank
Parisa Darvish Zadeh Varcheie1716.18
Guillaume-Alexandre Bilodeau266751.02