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ICPR
2004
IEEE
16 years 7 months ago
Estimation of the Bayesian Network Architecture for Object Tracking in Video Sequences
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
Arnaldo J. Abrantes, Jorge S. Marques, Pedro Mende...
ICPR
2004
IEEE
16 years 7 months ago
Reconstructing a Dynamic Surface from Video Sequences Using Graph Cuts in 4D Space-Time
This paper is concerned with the problem of dynamically reconstructing the 3D surface of an object undergoing non-rigid motion. The problem is cast as reconstructing a continuous ...
Narendra Ahuja, Ning Xu, Tianli Yu
ICPR
2008
IEEE
16 years 29 days ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
ICPR
2008
IEEE
16 years 29 days ago
Estimating the number of people in a video sequence via geometrical model
We propose a novel technique for estimating the number of people in a video sequence; it has the advantages of being stable even in crowded situations and needing no ground-truth ...
Hiroyuki Arai, Isao Miyagawa, Hideki Koike, Miki H...
ICNS
2007
IEEE
16 years 25 days ago
A Theoretical Framework for End-to-End Video Quality Prediction of MPEG-based Sequences
— This paper presents a novel theoretical framework for end-to-end video quality prediction of MPEG-based video sequences. The proposed framework encloses two discrete models: i)...
Harilaos Koumaras, Anastasios Kourtis, Cheng-Han L...