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» MAP Particle Selection in Shape-Based Object Tracking
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97
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SCALESPACE
2001
Springer
15 years 4 months ago
A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses
This paper develops and investigates a new approach for evaluating feature based object hypotheses in a direct way. The idea is to compute a feature likelihood map (FLM), which is ...
Ivan Laptev, Tony Lindeberg
CEC
2007
IEEE
15 years 4 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
94
Voted
DAGM
2003
Springer
15 years 5 months ago
Color-Based Object Tracking in Multi-camera Environments
This paper presents a multi-view tracker, meant to operate in smart rooms that are equipped with multiple cameras. The cameras are assumed to be calibrated3 . In particular, we dem...
Katja Nummiaro, Esther Koller-Meier, Tomás ...
ICCV
2011
IEEE
14 years 11 days ago
Realtime Multibody Visual SLAM with a Smoothly Moving Monocular Camera
This paper presents a realtime, incremental multibody visual SLAM system that allows choosing between full 3D reconstruction or simply tracking of the moving objects. Motion recon...
Abhijit Kundu, Madhava Krishna, C. V. Jawahar
112
Voted
ICIP
2006
IEEE
16 years 2 months ago
Robust Kernel-Based Tracking using Optimal Control
Although more efficient in computation compared to other tracking approaches such as particle filtering, the kernel-based tracking suffers from the "singularity" problem...
Wei Qu, Dan Schonfeld