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» Incremental Learning for Visual Tracking
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CIVR
2007
Springer
123views Image Analysis» more  CIVR 2007»
16 years 7 days ago
Behavior monitoring through automatic analysis of video sequences
This paper addresses the problem of classifying actions performed by a human subject in a video sequence. A representation eigenspace approach based on the visual appearance is us...
Carlo Colombo, Dario Comanducci, Alberto Del Bimbo
ECAI
2004
Springer
15 years 11 months ago
Attention-Driven Parts-Based Object Detection
Recent studies have argued that natural vision systems perform classification by utilizing different mechanisms depending on the visual input. In this paper we present a hybrid, ...
Ilkka Autio, Jussi T. Lindgren
CVPR
2011
IEEE
14 years 9 months ago
Probabilistic Gaze Estimation Without Active Personal Calibration
Existing eye gaze tracking systems typically require an explicit personal calibration process in order to estimate certain person-specific eye parameters. For natural human compu...
Jixu Chen, Qiang Ji
CVPR
2007
IEEE
16 years 12 days ago
Trajectory Series Analysis based Event Rule Induction for Visual Surveillance
In this paper, a generic rule induction framework based on trajectory series analysis is proposed to learn the event rules. First the trajectories acquired by a tracking system ar...
Zhang Zhang, Kaiqi Huang, Tieniu Tan, Liangsheng W...
ICCV
2007
IEEE
16 years 8 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis