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FGR
2011
IEEE
263views Biometrics» more  FGR 2011»
14 years 1 months ago
Exploiting long-term observations for track creation and deletion in online multi-face tracking
— In many visual multi-object tracking applications, the question when to add or remove a target is not trivial due to, for example, erroneous outputs of object detectors or obse...
Stefan Duffner, Jean-Marc Odobez
ICPR
2002
IEEE
15 years 10 months ago
Integrated Approach of Multiple Face Detection for Video Surveillance
For applications such as video surveillance and human computer interface, we propose an efficiently integrated method to detect and track faces. Various visual cues are combined t...
Tae-Kyun Kim, Sung-Uk Lee, Jong Ha Lee, Seok-Cheol...
ICPR
2010
IEEE
15 years 5 days ago
A Reliability Assessment Paradigm for Automated Video Tracking Systems
Most existing performance evaluation methods concentrate on defining separate metrics over a wide range of conditions and generating standard benchmarking video sequences for exam...
Chung-Hao Chen, Yi Yao, Andreas Koschan, Mongi Abi...
ISCAS
2003
IEEE
145views Hardware» more  ISCAS 2003»
15 years 3 months ago
Automatic moving object extraction in MPEG video
In this paper, we propose a moving object extraction technique for MPEG coded data directly. It is a changebased motion object extraction approach, which discriminates background ...
Wei Zeng, Wen Gao, Debin Zhao
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach