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118
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ICIP
2006
IEEE
16 years 4 months ago
Model-Free, Statistical Detection and Tracking of Moving Objects
A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
Mark Ross
101
Voted
ICIP
2005
IEEE
16 years 4 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...
126
Voted
ICMCS
2006
IEEE
111views Multimedia» more  ICMCS 2006»
15 years 8 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 7 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...
140
Voted
ICAT
2007
IEEE
15 years 4 months ago
Edge-Based Markerless 3D Tracking of Rigid Objects
In this paper we present a real-time 3D object tracking algorithm based on edges and using a single pre-calibrated camera. During the tracking process, the algorithm is continuous...
Javier Barandiarán, Diego Borro