571 search results - page 53 / 115 » Learning to Track with Multiple Observers |
ICCV
2009
IEEE
15 years 22 days ago
2009
IEEE
We present an approach to visual tracking based on dividing a
target into multiple regions, or fragments. The target is represented
by a Gaussian mixture model in a joint feature...
SAC
2010
ACM
14 years 17 days ago
2010
ACM
We consider the problem of anomaly detection in multiple co-evolving data streams. In this paper, we introduce FRAHST (Fast Rank-Adaptive row-Householder Subspace Tracking). It au...
FOCS
1995
IEEE
13 years 11 months ago
1995
IEEE
Abstract. Littlestone developed a simple deterministic on-line learning algorithm for learning k-literal disjunctions. This algorithm (called Winnow) keeps one weight for each of t...
RAS
2010
13 years 6 months ago
2010
This paper presents an approach for tracking multiple persons on a mobile robot with a combination of colour and thermal vision sensors, using several new techniques. First, an ad...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we present a novel learning based framework for performing super-resolution using multiple images. We model the image as an undirected graphical model over image pa...