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AROBOTS
2010
194views more  AROBOTS 2010»
13 years 5 months ago
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters
Abstract Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided wit...
Nicola Bellotto, Huosheng Hu
ECCV
2006
Springer
13 years 9 months ago
Robust Head Tracking with Particles Based on Multiple Cues Fusion
This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multi-view face detection techniques and multiple cues fus...
Yuan Li, Haizhou Ai, Chang Huang, Shihong Lao
SSIAI
2002
IEEE
14 years 13 days ago
Automated Detection of All Kinds of Violations at a Street Intersection Using Real Time Individual Vehicle Tracking
2. Tracking traveling trajectory The traveling trajectory of eachvehicle is evaluatedfrom the analog images of 30 frames/sec.The computation of a traveling trajectory is mainly di...
Dae-Woon Lim, Sung-Hoon Choi, Joon-Suk Jun
CVPR
2007
IEEE
14 years 9 months ago
Tracking Large Variable Numbers of Objects in Clutter
We propose statistical data association techniques for visual tracking of enormously large numbers of objects. We do not assume any prior knowledge about the numbers involved, and...
Margrit Betke, Diane E. Hirsh, Angshuman Bagchi, N...
JUCS
2010
265views more  JUCS 2010»
13 years 6 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada