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CVPR
2010
IEEE
13 years 5 months ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak
IWNAS
2006
IEEE
13 years 11 months ago
Comparisons of Three Kalman Filter Tracking Algorithms in Sensor Network
This paper compares extended Kalman filters with the P, PV and PVA dynamics models for object tracking in wireless network. Experiments shows that PVA achieves the best and P per...
Yifeng Zhu, Ali Shareef
ICMCS
2006
IEEE
167views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Efficient Object Tracking using Control-Based Observer Design
Kernel-based tracking approaches have proven to be more efficient in computation compared to other tracking approaches such as particle filtering. However, existing kernel-based...
Wei Qu, Dan Schonfeld
ICPR
2010
IEEE
13 years 3 months ago
Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion
Next-best-view (NBV) planning is an important aspect for three-dimensional (3D) reconstruction within controlled environments, such as a camera mounted on a robotic arm. NBV metho...
Michael Trummer, Christoph Munkelt, Joachim Denzle...
ICCV
2007
IEEE
14 years 7 months ago
Synthetic Aperture Tracking: Tracking through Occlusions
Occlusion is a significant challenge for many tracking algorithms. Most current methods can track through transient occlusion, but cannot handle significant extended occlusion whe...
Neel Joshi, Shai Avidan, Wojciech Matusik, David J...