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» Integration of Background Modeling and Object Tracking
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DAGM
2005
Springer
14 years 4 months ago
Robust Head Detection and Tracking in Cluttered Workshop Environments Using GMM
Abstract. A vision based head tracking approach is presented, combining foreground information with an elliptical head model based on the integration of gradient and skin-color inf...
Alexander Barth, Rainer Herpers
PCM
2004
Springer
127views Multimedia» more  PCM 2004»
14 years 4 months ago
Using a Non-prior Training Active Feature Model
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPTAFM) framework. The proposed algorithm mainly focus...
Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon...
TIP
2008
125views more  TIP 2008»
13 years 10 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
MVA
2002
123views Computer Vision» more  MVA 2002»
13 years 10 months ago
Pose Estimation for Insertion of Orbital Replacement Units Against Cluttered Background Using a Non-calibrated Camera
In this paper, we present work from our ongoing project on vision-guided retrieval and insertion of ORUs. Guidance is to be provided through estimated relative poses between an OR...
Chiun-Hong Chien
IROS
2006
IEEE
139views Robotics» more  IROS 2006»
14 years 4 months ago
Tracking Articulating Objects from Ground Vehicles using Mixtures of Mixtures
— An algorithm for tracking articulating objects from moving camera platforms is presented. Mixtures of mixtures are used to model the appearance of the object and the background...
Wael Abd-Almageed, Mohamed E. Hussein, Larry S. Da...