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ICRA
2010
IEEE
135views Robotics» more  ICRA 2010»
13 years 3 months ago
Using multiple hypothesis in model-based tracking
— Classic registration methods for model-based tracking try to align the projected edges of a 3D model with the edges of the image. However, wrong matches at low level can make t...
Céline Teuliere, Éric Marchand, Laur...
CVPR
1999
IEEE
14 years 6 months ago
A Multiple Hypothesis Approach to Figure Tracking
This paper describes a probabilistic multiple-hypothesis framework for tracking highly articulated objects. In this framework, the probability density of the tracker state is repr...
Tat-Jen Cham, James M. Rehg
ISBI
2009
IEEE
13 years 11 months ago
Multiple Hypothesis Tracking in Microscopy Images
Multiple hypothesis tracking (MHT) is a preferred technique for solving the data association problem in modern multiple target tracking systems. However in bioimaging applications...
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe...
ICIP
2004
IEEE
14 years 6 months ago
A detection-based multiple object tracking method
In this paper we describe a method for tracking multiple objects whose number is unknown and varies during tracking. Based on preliminary results of object detection in each image...
Mei Han, Amit Sethi, Wei Hua, Yihong Gong
ECCV
2010
Springer
13 years 7 months ago
Multiple Hypothesis Video Segmentation from Superpixel Flows
Multiple Hypothesis Video Segmentation (MHVS) is a method for the unsupervised photometric segmentation of video sequences. MHVS segments arbitrarily long video streams by consider...