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JUCS
2010
265views more  JUCS 2010»
13 years 3 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
2002
188views Computer Vision» more  MVA 2002»
13 years 5 months ago
Adaptive Background Estimation for Object Tracking
2 Adaptive Background Model Tracking people has received considerable attention by computer vision researchers. Interest is motivated by the broad range of potential applications s...
Ryunosuke Itoh, Yoshio Iwai, Masahiko Yachida
ICIP
2002
IEEE
14 years 7 months ago
Parametric contour tracking using unscented Kalman filter
This paper presents an efficient method to integrate various spatial-temporal constraints to regularize the contour tracking. The global shape of the contour is represented in a p...
Yunqiang Chen, Thomas S. Huang, Yong Rui
ICIP
2002
IEEE
14 years 7 months ago
Template tracking using color invariant pixel features
In our method for tracking objects, appearance features are smoothed by robust and adaptive Kalman filters, one to each pixel, making the method robust against occlusions. While t...
Hieu Tat Nguyen, Arnold W. M. Smeulders
MVA
1996
168views Computer Vision» more  MVA 1996»
13 years 6 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