Track Creation and Deletion Framework for Long-Term Online Multiface Tracking

To improve visual tracking, a large number of papers study more powerful features, or better cue fusion mechanisms, such as adaptation or contextual models. A complementary approach consists of improving the track management, that is, deciding when to add a target or stop its tracking, for example,...

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Veröffentlicht in:	IEEE transactions on image processing 2013-01, Vol.22 (1), p.272-285
Hauptverfasser:	Duffner, S., Odobez, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Bayes Theorem Bayesian analysis Biometric Identification - methods Computational modeling Detection, estimation, filtering, equalization, prediction Detectors Exact sciences and technology Face Face - anatomy & histology Face detection Face tracking Failure failure detection Filtering Filtration Hidden Markov models Humans Image processing Image Processing, Computer-Assisted - methods Information, signal and communications theory long term Management Markov analysis Markov Chains Monte Carlo Method Monte Carlo methods Monte Carlo simulation multi-object tracking Pattern recognition Plugs probabilistic models Robustness Signal and communications theory Signal processing Signal, noise Target tracking Telecommunications and information theory track management Tracking
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