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ICIP
2005
IEEE
15 years 11 months ago
Tracking points on deformable objects with ranklets
We present a robust algorithm for point tracking on deformable objects. The key elements are the use of orientation selective rank features (ranklets), local filter adaptation and...
Fabrizio Smeraldi, Alessio Del Bue, Lourdes de Aga...
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
15 years 4 months ago
Integration of Background Modeling and Object Tracking
Background model and tracking became critical components for many vision-based applications. Typically, background modeling and object tracking are mutually independent in many ap...
Yu-Ting Chen, Chu-Song Chen, Yi-Ping Hung
ICPR
2002
IEEE
15 years 2 months ago
Tracking Objects Using Recovered Physical Motion Parameters
This paper presents a physical model-based method for recovering and tracking nonrigid motion of elastic objects. The proposed method recovers the motion in terms of actual physic...
Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar, Leon...
VR
1999
IEEE
185views Virtual Reality» more  VR 1999»
15 years 2 months ago
Hybrid Inertial and Vision Tracking for Augmented Reality Registration
The biggest single obstacle to building effective augmented reality (AR) systems is the lack of accurate wide-area sensors for trackers that report the locations and orientations ...
Suya You, Ulrich Neumann, Ronald Azuma
ICPR
2010
IEEE
15 years 1 months ago
The Fusion of Deep Learning Architectures and Particle Filtering Applied to Lip Tracking
This work introduces a new pattern recognition model for segmenting and tracking lip contours in video sequences. We formulate the problem as a general nonrigid object tracking me...
Gustavo Carneiro, Jacinto Nascimento