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NIPS
2008
15 years 7 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
MVA
1992
105views Computer Vision» more  MVA 1992»
15 years 7 months ago
Proposition of a Human Motion Tracking Method by Temporal-Spatial Segmentation in an Image Sequence
In this paper, a ncw approach of a 3D human motion tracking mcthod in rcal time is proposed. The basis of thc nicthod is thc use of two scgrncntations, one temporal and the othcr ...
Frédéric Elsner, Khaled Hacine, Nace...
PAMI
2007
214views more  PAMI 2007»
15 years 5 months ago
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours
—Tracking deforming objects involves estimating the global motion of the object and its local deformations as a function of time. Tracking algorithms using Kalman filters or part...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
ICMCS
2009
IEEE
184views Multimedia» more  ICMCS 2009»
15 years 4 months ago
Structure and appearance features for robust 3D facial actions tracking
This paper presents a robust and accurate method for joint head pose and facial actions tracking, even under challenging conditions such as varying lighting, large head movements,...
Stéphanie Lefevre, Jean-Marc Odobez
CVPR
2011
IEEE
15 years 4 months ago
Globally-Optimal Greedy Algorithms for Tracking a Variable Number of Objects
We analyze the computational problem of multi-object tracking in video sequences. We formulate the problem using a cost function that requires estimating the number of tracks, as ...
Hamed Pirsiavash, Deva Ramanan, Charless Fowlkes