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» Object Classification in Visual Surveillance Using Adaboost
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ICIP
2009
IEEE
16 years 2 months ago
Recognizing Human Actions By Fusing Spatio-temporal Appearance And Motion Descriptors
In this paper we propose a new method for human action categorization by using an effective combination of a new 3D gradient descriptor with an optic flow descriptor, to represent...
CVPR
1999
IEEE
16 years 3 months ago
Independent Motion: The Importance of History
We consider a problem central in aerial visual surveillance applications { detection and tracking of small, independently moving objects in long and noisy video sequences. We dire...
Robert Pless, Tomás Brodský, Yiannis...
TVCG
2012
210views Hardware» more  TVCG 2012»
13 years 3 months ago
A 2D Flow Visualization User Study Using Explicit Flow Synthesis and Implicit Task Design
—This paper presents a 2D flow visualization user study that we conducted using new methodologies to increase the objectiveness. We evaluated grid-based variable-size arrows, eve...
Zhanping Liu, Shangshu Cai, J. Edward Swan II, Rob...
IVC
2007
173views more  IVC 2007»
15 years 1 months ago
Robust tracking with motion estimation and local Kernel-based color modeling
Visual tracking has been a challenging problem in computer vision over the decades. The applications of visual tracking are far-reaching, ranging from surveillance and monitoring ...
R. Venkatesh Babu, Patrick Pérez, Patrick B...
NIPS
2008
15 years 2 months ago
Unsupervised Learning of Visual Sense Models for Polysemous Words
Polysemy is a problem for methods that exploit image search engines to build object category models. Existing unsupervised approaches do not take word sense into consideration. We...
Kate Saenko, Trevor Darrell