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ICRA
2009
IEEE
171views Robotics» more  ICRA 2009»
9 years 5 months ago
Object classification based on a geometric grammar with a range camera
Abstract-- This paper proposes an object classification framework based on a geometric grammar aimed for mobile robotic applications. The paper first discusses the geometric gramma...
Jiwon Shin, Stefan Gächter, Ahad Harati, C&ea...
ICRA
2009
IEEE
158views Robotics» more  ICRA 2009»
9 years 5 months ago
MMM-classification of 3D range data
This paper presents a method for accurately segmenting and classifying 3D range data into particular object classes. Object classification of input images is necessary for applicat...
Anuraag Agrawal, Atsushi Nakazawa, Haruo Takemura
ACCV
2010
Springer
9 years 9 months ago
Abstraction and Generalization of 3D structure for recognition in large intra-class variation
Humans have abstract models for object classes which helps recognize previously unseen instances, despite large intra-class variations. Also objects are grouped into classes based...
Gowri Somanath, Chandra Kambhamettu
SPIEVIP
2010
9 years 10 months ago
Automatic scene activity modeling for improving object classification
In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Samuel Foucher, Marc Lalonde, Langis Gagnon
ICPR
2000
IEEE
9 years 11 months ago
Measuring Shape: Ellipticity, Rectangularity, and Triangularity
Object classification often operates by making decisions based on the values of several shape properties measured from the image. This paper describes and tests several algorithms...
Paul L. Rosin
ICDM
2007
IEEE
151views Data Mining» more  ICDM 2007»
10 years 2 hour ago
Combining Collective Classification and Link Prediction
The problems of object classification (labeling the nodes of a graph) and link prediction (predicting the links in a graph) have been largely studied independently. Commonly, obje...
Mustafa Bilgic, Galileo Namata, Lise Getoor
CVPR
2007
IEEE
10 years 2 days ago
Object Classification in Visual Surveillance Using Adaboost
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
John-Paul Renno, Dimitrios Makris, Graeme A. Jones
CVPR
2010
IEEE
10 years 2 months ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
ICIP
2005
IEEE
10 years 9 months ago
Perceptually optimized MPEG compression of synthetic video sequences
This paper addresses the problem of improving the quality performance of synthetic video sequences by means of standard frame? based coders. The proposed technique can exploit bot...
Enrico Masala, Davide Quaglia
CVPR
2007
IEEE
10 years 10 months ago
Objects in Action: An Approach for Combining Action Understanding and Object Perception
Analysis of videos of human-object interactions involves understanding human movements, locating and recognizing objects and observing the effects of human movements on those obje...
Abhinav Gupta, Larry S. Davis
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