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CVIU
2006
142views more  CVIU 2006»
13 years 4 months ago
Robust target detection and tracking through integration of motion, color, and geometry
Vision-based tracking is a basic elementary task in many computer vision-based applications such as video surveillance and monitoring, sensing and navigation in robotics, video co...
Harini Veeraraghavan, Paul R. Schrater, Nikolaos P...
ICIP
2007
IEEE
13 years 10 months ago
Target Detection Through Robust Motion Segmentation and Tracking Restrictions in Aerial Flir Images
An efficient automatic moving target detection and tracking system in airborne forward looking infrared (FLIR) imagery is presented in this paper. Due to camera ego-motion, these ...
Carlos R. del-Blanco, Fernando Jaureguizar, Luis S...
WACV
2005
IEEE
13 years 10 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
ICIP
2007
IEEE
14 years 6 months ago
Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro
VMV
2008
168views Visualization» more  VMV 2008»
13 years 5 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll