Paper Info
Title
Fuzzy Feature-Based Upper Body Tracking with IP PTZ Camera Control
Abstract
In this paper, we propose a fuzzy-feature based method for online upper body tracking using an IP PTZ camera. Because the camera uses a built-in web server, camera control entails camera response time and network delays, and thus, the frame rate is irregular and in general low (2-7 fps). It detects at every frame, candidate targets by extracting motion, a sampling method, and appearance. The target is detected among samples with a fuzzy classifier. Results show that our system has a good target detection precision ( 85%), low track fragmentation, and the target is almost always localized within 1/6th of the image diagonal from the image center.
Year
DOI
Venue
2009
10.1007/978-3-642-10268-4_95
CIARP
Keywords
Field
DocType
camera control,ip ptz camera control,image diagonal,fuzzy feature-based upper body,general low,camera response time,low track fragmentation,image center,frame rate,good target detection precision,ip ptz camera,candidate target,sampling methods,network delay
Diagonal,Computer vision,Pattern recognition,Computer science,Fuzzy logic,Camera auto-calibration,Response time,Sampling (statistics),Artificial intelligence,Frame rate,Camera control,Web server
Conference
Volume
ISSN
Citations 
5856
0302-9743
0
PageRank 
References 
Authors
0.34
11
2
Name
Order
Citations
PageRank
Parisa Darvish Zadeh Varcheie1716.18
Guillaume-Alexandre Bilodeau266751.02