115 search results - page 1 / 23 » A Sparse Probabilistic Learning Algorithm for Real-Time Trac... |
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper addresses the problem of applying powerful pattern recognition algorithms based on kernels to efficient visual tracking. Recently Avidan [1] has shown that object recog...
AAAI
2012
11 years 6 months ago
2012
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Applications such as traffic engineering and network provisioning can greatly benefit from knowing, in real time, what is the largest input rate at which it is possible to transmit...
ECCV
2008
Springer
13 years 6 months ago
2008
Springer
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
TSMC
2008
13 years 4 months ago
2008
Abstract--We present a real-time incremental approach to motion segmentation operating on sparse feature points. In contrast to previous work, the algorithm allows for a variable n...