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» Invariant Features from Interest Point Groups
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121
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ECAI
2008
Springer
15 years 5 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
159
Voted
PAMI
2008
220views more  PAMI 2008»
15 years 3 months ago
Pedestrian Detection via Classification on Riemannian Manifolds
Detecting different categories of objects in image and video content is one of the fundamental tasks in computer vision research. The success of many applications such as visual s...
Oncel Tuzel, Fatih Porikli, Peter Meer
149
Voted
ICPR
2010
IEEE
15 years 3 months ago
Human Activity Recognition Using Local Shape Descriptors
We propose a method for human activity recognition in videos, based on shape analysis. We define local shape descriptors for interest points on the detected contour of the human a...
Sharath Venkatesha, Matthew Turk
138
Voted
BMVC
2010
15 years 1 months ago
A Wavelet Based Local Descriptor for Human Action Recognition
In interest point based human action recognition, local descriptors are used to represent information in the neighbourhood around each extracted space-time interest point. The per...
Ling Shao, Ruoyun Gao
119
Voted
ICPR
2004
IEEE
16 years 4 months ago
Probabilistic Object Tracking Using Multiple Features
We present a generic tracker which can handle a variety of different objects. For this purpose, groups of low-level features like interest points, edges, homogeneous and textured ...
David Serby, Esther Koller-Meier, Luc J. Van Gool