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» Tracking People by Learning Their Appearance
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CVPR
2008
IEEE
14 years 3 months ago
Learning a geometry integrated image appearance manifold from a small training set
While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large and varied training se...
Yilei Xu, Amit K. Roy Chowdhury
CVPR
2011
IEEE
13 years 12 days ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
CVPR
2005
IEEE
14 years 10 months ago
A Caratheodory-Fejer Approach to Dynamic Appearance Modeling
This paper presents a technique to learn dynamic appearance models from a small number of training frames. Under this framework, dynamic appearance is modelled as an unknown opera...
Hwasup Lim, Octavia I. Camps, Mario Sznaier
ECCV
2008
Springer
13 years 10 months ago
Robust Real-Time Visual Tracking Using Pixel-Wise Posteriors
We derive a probabilistic framework for robust, real-time, visual tracking of previously unseen objects from a moving camera. The tracking problem is handled using a bag-of-pixels ...
Charles Bibby, Ian D. Reid
ICPR
2006
IEEE
14 years 9 months ago
Non-overlapping Distributed Tracking using Particle Filter
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
Fee-Lee Lim, Tele Tan, Wilson S. Leoputra