Sciweavers

1401 search results - page 22 / 281
» Probabilistic Object Tracking Using Multiple Features
Sort
View
ECCV
2004
Springer
14 years 9 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
ICRA
2002
IEEE
111views Robotics» more  ICRA 2002»
14 years 18 days ago
Feature-Based Multi-Hypothesis Localization and Tracking for Mobile Robots using Geometric Constraints
In this paper we present a new probabilistic feature-based approach to multi-hypothesis global localization and pose tracking. Hypotheses are generated using a constraintbased sea...
Kai Oliver Arras, José A. Castellanos, Rola...
CVPR
2005
IEEE
14 years 9 months ago
Tracking Multiple Objects through Occlusions
We present an approach for tracking varying number of objects through both temporally and spatially significant occlusions. Our method builds on the idea of object permanence to r...
Yan Huang, Irfan A. Essa
IBPRIA
2005
Springer
14 years 1 months ago
Real-Time Tracking Using Multiple Target Models
Using Comaniciu et al.’s approach as a basis, [9], this paper presents a real-time tracking technique in which a multiple target model is used. The use of a multiple model shall ...
Manuel J. Lucena, José M. Fuertes, Nicolas ...
ICCV
2003
IEEE
14 years 9 months ago
Fast Vehicle Detection with Probabilistic Feature Grouping and its Application to Vehicle Tracking
Generating vehicle trajectories from video data is an important application of ITS (Intelligent Transportation Systems). We introduce a new tracking approach which uses model-base...
Zu Whan Kim, Jitendra Malik