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» Tracking in Reinforcement Learning
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121
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ICIP
2006
IEEE
16 years 5 months ago
Tracking Motion-Blurred Targets in Video
Many emerging applications require tracking targets in video. Most existing visual tracking methods do not work well when the target is motion-blurred (especially due to fast moti...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...
179
Voted
MLMI
2005
Springer
15 years 9 months ago
Foreground Regions Extraction and Characterization Towards Real-Time Object Tracking
Abstract. Object localization and tracking are key issues in the analysis of scenes for video surveillance or scene understanding applications. This paper presents a contribution t...
José Luis Landabaso, Montse Pardàs
174
Voted
IWCM
2004
Springer
15 years 9 months ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
145
Voted
AMFG
2003
IEEE
148views Biometrics» more  AMFG 2003»
15 years 8 months ago
Multi-Modal Face Tracking Using Bayesian Network
This paper presents a Bayesian network based multimodal fusion method for robust and real-time face tracking. The Bayesian network integrates a prior of second order system dynami...
Fang Liu, Xueyin Lin, Stan Z. Li, Yuanchun Shi
AMDO
2006
Springer
15 years 7 months ago
Combined Head, Lips, Eyebrows, and Eyelids Tracking Using Adaptive Appearance Models
The ability to detect and track human heads and faces in video sequences is useful in a great number of applications, such as human-computer interaction and gesture recognition. Re...
Fadi Dornaika, Javier Orozco, Jordi Gonzàle...