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ICIP
2008
IEEE
14 years 10 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
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 3 months ago
Expansion segmentation for visual collision detection and estimation
Abstract— Collision detection and estimation from a monocular visual sensor is an important enabling technology for safe navigation of small or micro air vehicles in near earth ï...
Jeffrey Byrne, Camillo J. Taylor
CVPR
2006
IEEE
14 years 10 months ago
Real-Time Visual SLAM with Resilience to Erratic Motion
Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual...
Mark Pupilli, Andrew Calway
ICRA
2009
IEEE
165views Robotics» more  ICRA 2009»
14 years 3 months ago
A visual odometry framework robust to motion blur
— Motion blur is a severe problem in images grabbed by legged robots and, in particular, by small humanoid robots. Standard feature extraction and tracking approaches typically f...
Alberto Pretto, Emanuele Menegatti, Maren Bennewit...
AVSS
2009
IEEE
14 years 3 months ago
Cost-Effective Solution to Synchronized Audio-Visual Capture Using Multiple Sensors
Abstract—Applications such as surveillance and human motion capture require high-bandwidth recording from multiple cameras. Furthermore, the recent increase in research on sensor...
Jeroen Lichtenauer, Michel François Valstar...