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» An Adaptive Bayesian Technique for Tracking Multiple Objects
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ICC
2007
IEEE
156views Communications» more  ICC 2007»
14 years 2 months ago
Multi-Antenna Techniques for Wireless Mesh Networks in an Outdoor Environment
— This paper investigates the behavior of a Wireless Mesh Network in which the nodes are equipped with a multiple antenna system. The objective of this study is the comparison of...
Fulvio Babich, Massimiliano Comisso, Lucio Mania
CVPR
2010
IEEE
14 years 3 months ago
On-line Semi-supervised Multiple-Instance Boosting
A recent dominating trend in tracking called tracking-by-detection uses on-line classifiers in order to redetect objects over succeeding frames. Although these methods usually deli...
Bernhard Zeisl, Christian Leistner, Amir Saffari, ...
SIBGRAPI
2005
IEEE
14 years 1 months ago
Particle Filter-Based Predictive Tracking for Robust Fish Counting
In this paper we study the use of computer vision techniques for for underwater visual tracking and counting of fishes in vivo. The methodology is based on the application of a B...
Erikson F. Morais, Mario Fernando Montenegro Campo...
ICCV
2005
IEEE
14 years 9 months ago
On-Line Density-Based Appearance Modeling for Object Tracking
Object tracking is a challenging problems in real-time computer vision due to variations of lighting condition, pose, scale, and view-point over time. However, it is exceptionally...
Bohyung Han, Larry S. Davis
ICCV
2003
IEEE
14 years 9 months ago
On-Line Selection of Discriminative Tracking Features
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...
Robert T. Collins, Yanxi Liu