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ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
15 years 7 months ago
Learning Activity-Based Ground Models from a Moving Helicopter Platform
— We present a method for learning activity-based ground models based on a multiple particle filter approach to motion tracking in video acquired from a moving aerial platform. ...
Andrew Lookingbill, David Lieb, David Stavens, Seb...
ICIP
2006
IEEE
16 years 3 months ago
Region-Based Statistical Background Modeling for Foreground Object Segmentation
This paper proposes a novel region-based scheme for dynamically modeling time-evolving statistics of video background, leading to an effective segmentation of foreground moving ob...
Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Ma...
CVPR
2009
IEEE
15 years 5 months ago
Shape-based object recognition in videos using 3D synthetic object models
In this paper we address the problem of recognizing moving objects in videos by utilizing synthetic 3D models. We use only the silhouette space of the synthetic models making thus...
Alexander Toshev, Ameesh Makadia, Kostas Daniilidi...
ICIP
2008
IEEE
16 years 3 months ago
Geodesic active regions for segmentation and tracking of human gestures in sign language videos
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient me...
Olga Diamanti, Petros Maragos
115
Voted
IVC
2006
171views more  IVC 2006»
15 years 1 months ago
Motion detection and tracking using belief indicators for an automatic visual-surveillance system
A motion detection and tracking algorithm for human and car activity surveillance is presented and evaluated by using the Pets'2000 test sequence. Proposed approach uses a te...
Cina Motamed