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ICPR
2008
IEEE
14 years 3 months ago
Online Feature Evaluation For Object Tracking Using Kalman Filter
An online feature evaluation method for visual object tracking is put forward in this paper. Firstly, a combined feature set is built using color histogram (HC) bins and gradien...
Zhenjun Han, Qixiang Ye, Jianbin Jiao+
ROBOCUP
2004
Springer
288views Robotics» more  ROBOCUP 2004»
14 years 25 days ago
Motion Detection and Tracking for an AIBO Robot Using Camera Motion Compensation and Kalman Filtering
Motion detection and tracking while moving is a desired ability for any soccer player. For instance, this ability allows the determination of the ball trajectory when the player is...
Javier Ruiz-del-Solar, Paul A. Vallejos
JUCS
2010
265views more  JUCS 2010»
13 years 5 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
MVA
1996
168views Computer Vision» more  MVA 1996»
13 years 8 months ago
Real-time Tracking with Kalman Filter
automatically updated during the matching process, This paper describes a real-time tracking system which detects an object entering into the field of view of camera and executes t...
Dae-Sik Jang, Hyung-Il Choi, Gye-Young Kim
ENGL
2007
164views more  ENGL 2007»
13 years 7 months ago
Vision Based Target-Tracking Realized with Mobile Robots using Extended Kalman Filter
— The paper presents a novel scheme for target-tracking realized with two mobile robots, where one robot is configured as tracker and the other as moving target. Fuzzy C-means cl...
Sheli Sinha Chaudhuri, Amit Konar