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» Multi-hypothesis Motion Planning for Visual Object Tracking
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WACV
2008
IEEE
15 years 4 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
CRV
2006
IEEE
187views Robotics» more  CRV 2006»
15 years 1 months ago
Confidence Based updation of Motion Conspicuity in Dynamic Scenes
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Vivek Kumar Singh, Subhransu Maji, Amitabha Mukerj...
ICRA
1993
IEEE
273views Robotics» more  ICRA 1993»
15 years 1 months ago
Increasing the Tracking Region of an Eye-In-Hand System by Singularity and Joint Limit Avoidance
A new control strategy is presented which visually tracks objects using a manipulator/camera system while simultaneously avoiding kinematic singularities and joint limits by movin...
Bradley J. Nelson, Pradeep K. Khosla
102
Voted
ICIP
2007
IEEE
15 years 11 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
80
Voted
MVA
2007
121views Computer Vision» more  MVA 2007»
14 years 11 months ago
Tracking Features with Global Motion Compensation for Drone Camera Servoing
This paper deals with visual servoing for a pan and tilt camera embedded in a drone. Video is transmitted to the ground where images are processed on a PC, and turret controls are...
Benoît Louvat, Laurent Bonnaud, Nicolas Marc...