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» A Generative Model Based Approach to Motion Segmentation
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ETFA
2008
IEEE
14 years 2 months ago
A fast visual line segment tracker
We present a fast line segment tracker which does not require any knowledge about the motion of the camera nor the structure of the observed scene. It runs on 320 x 240 pixel imag...
Peer Neubert, Peter Protzel, Teresa Vidal-Calleja,...
ICIP
2008
IEEE
14 years 9 months ago
Feature-based object modelling for visual surveillance
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
Gary Baugh, Anil C. Kokaram
IJCV
2008
191views more  IJCV 2008»
13 years 7 months ago
Searching for Complex Human Activities with No Visual Examples
Abstract We describe a method of representing human activities that allows a collection of motions to be queried without examples, using a simple and effective query language. Our ...
Nazli Ikizler, David A. Forsyth
CVPR
2008
IEEE
14 years 9 months ago
Motion from blur
Motion blur retains some information about motion, based on which motion may be recovered from blurred images. This is a difficult problem, as the situations of motion blur can be...
Shengyang Dai, Ying Wu
ACCV
2006
Springer
14 years 1 months ago
Online Updating Appearance Generative Mixture Model for Meanshift Tracking
This paper proposes an appearance generative mixture model based on key frames for meanshift tracking. Meanshift tracking algorithm tracks object by maximizing the similarity betwe...
Jilin Tu, Hai Tao, Thomas S. Huang