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» Components for Object Detection and Identification
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ISVC
2010
Springer
14 years 7 months ago
A Spatio-Spectral Algorithm for Robust and Scalable Object Tracking in Videos
Abstract. In this work we propose a mechanism which looks at processing the low-level visual information present in video frames and prepares mid-level tracking trajectories of obj...
Alireza Tavakkoli, Mircea Nicolescu, George Bebis
ICIAP
2005
ACM
15 years 9 months ago
Improving SIFT-Based Object Recognition for Robot Applications
In this article we proposed an improved SIFT-based object recognition methodology for robot applications. This methodology is employed for implementing a robot-head detection syste...
Patricio Loncomilla, Javier Ruiz-del-Solar
89
Voted
CVPR
2012
IEEE
13 years 1 days ago
Manifold-based fingerprinting for target identification
In this paper, we propose a fingerprint analysis algorithm based on using product manifolds to create robust signatures for individual targets in motion imagery. The purpose of ta...
Kang-Yu Ni, Terrell N. Mundhenk, Kyungnam Kim, Yur...
CVPR
2007
IEEE
15 years 11 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
CVPR
2008
IEEE
15 years 11 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen