96 search results - page 9 / 20 » Improving Feature Tracking by Robust Points of interest Sele... |
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
ICIP
2004
IEEE
14 years 9 months ago
2004
IEEE
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
BMVC
2010
13 years 5 months ago
2010
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
We present a novel method for finding more good feature pairs between two sets of features. We first select matched features by Bi-matching method as seed points, then organize th...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...