133 search results - page 9 / 27 » Online Empirical Evaluation of Tracking Algorithms |
88
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
81
Voted
ECCV
2008
Springer
15 years 11 months ago
2008
Springer
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
ICONIP
2009
14 years 7 months ago
2009
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
100
click to vote
FTCS
1993
14 years 10 months ago
1993
This paper describes and evaluates two algorithms for performing on-line failure recovery (data reconstruction) in redundant disk arrays. It presents an implementation of disk-ori...
ACCV
2007
Springer
15 years 3 months ago
2007
Springer
This paper presents a novel feature set for visual tracking that is derived from “oriented energies”. More specifically, energy measures are used to capture a target’s multi...