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CVPR
2003
IEEE
16 years 17 hour ago
Variational Inference for Visual Tracking
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
Jaco Vermaak, Neil D. Lawrence, Patrick Pér...
ICCV
2003
IEEE
15 years 12 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez
ECCV
2010
Springer
15 years 1 months ago
Recursive Coarse-to-Fine Localization for fast Object Detection
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
Marco Pedersoli, Jordi Gonzàlez, Andrew D. Bagdan...
ICPR
2010
IEEE
15 years 1 months ago
Gait Recognition Using Period-Based Phase Synchronization for Low Frame-Rate Videos
This paper proposes a method for period-based gait trajectory matching in the eigenspace using phase synchronization for low frame-rate videos. First, a gait period is detected by ...
Atsushi Mori, Yasushi Makihara, Yasushi Yagi
EUC
2008
Springer
14 years 11 months ago
A Lightweight Detection and Recovery Infrastructure of Kernel Objects for Embedded Systems
The kernel objects consist of critical kernel data structures and system call functions, which are the most important data for a system, should be protected as first-class candida...
Lei Sun, Tatsuo Nakajima