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» An Object Model for Multiprogramming
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TIP
2008
125views more  TIP 2008»
15 years 6 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
MCS
2004
Springer
15 years 11 months ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel
PCM
2004
Springer
127views Multimedia» more  PCM 2004»
15 years 11 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...
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DAGM
2001
Springer
15 years 11 months ago
3D Model Retrieval with Spherical Harmonics and Moments
We consider 3D object retrieval in which a polygonal mesh serves as a query and similar objects are retrieved from a collection of 3D objects. Algorithms proceed first by a normal...
Dietmar Saupe, Dejan V. Vranic
HRI
2006
ACM
16 years 13 days ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso