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» Tracking Objects to Detect Feature Dependencies
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DICTA
2008
13 years 8 months ago
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
SMA
1995
ACM
176views Solid Modeling» more  SMA 1995»
13 years 11 months ago
Incremental algorithms for collision detection between solid models
: Fast and accurate collision detection between general solid models is a fundamental problem in solid modeling, robotics, animation and computer-simulated environments. Most of th...
Madhav K. Ponamgi, Dinesh Manocha, Ming C. Lin
ICPR
2010
IEEE
13 years 9 months ago
Shape Guided Maximally Stable Extremal Region (MSER) Tracking
Maximally Stable Extremal Regions (MSERs) are one of the most prominent interest region detectors in computer vision due to their powerful properties and low computational demands...
Michael Donoser, Hayko Riemenschneider, Horst Bisc...
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
MVA
2007
161views Computer Vision» more  MVA 2007»
13 years 8 months ago
Using Space-Time Interest Points for Video Sequence Synchronization
We introduce an algorithm for synchronizing two video sequences recorded by stationary cameras. It extends common RANSAC-based approaches that recover either a homography or a fun...
Daniel Wedge, Du Huynh, Peter Kovesi