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ICIP
2005
IEEE
15 years 11 months ago
Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking
In this paper we present a probabilistic framework for tracking objects based on local dynamic segmentation. We view the segn to be a Markov labeling process and abstract it as a ...
Feng Chen, XiaoTong Yuan, ShuTang Yang
CVIU
2010
429views more  CVIU 2010»
14 years 9 months ago
Cascade of descriptors to detect and track objects across any network of cameras
Most multi-camera systems assume a well structured environment to detect and track objects across cameras. Cameras need to be fixed and calibrated, or only objects within a traini...
Alexandre Alahi, Pierre Vandergheynst, Michel Bier...
CRV
2007
IEEE
224views Robotics» more  CRV 2007»
15 years 4 months ago
Real-time eye blink detection with GPU-based SIFT tracking
This paper reports on the implementation of a GPUbased, real-time eye blink detector on very low contrast images acquired under near-infrared illumination. This detector is part o...
Marc Lalonde, David Byrns, Langis Gagnon, Normand ...
ISBI
2006
IEEE
15 years 10 months ago
Tracking the motion of the outer tips of microtubules
Microtubules play numerous critical roles in a cell such as providing structural tracks for the anchoring and movement of vesicles and chromosomes. Also, the assembly of microtubu...
Stathis Hadjidemetriou, Derek Toomre, James S. Dun...
CVPR
2008
IEEE
15 years 11 months ago
Granularity and elasticity adaptation in visual tracking
The observation models in tracking algorithms are critical to both tracking performance and applicable scenarios but are often simplified to focus on fixed level of certain target...
Ming Yang, Ying Wu