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» A Boundary-Fragment-Model for Object Detection
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ICCV
2009
IEEE
16 years 11 months ago
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
Recognizing object classes and their 3D viewpoints is an important problem in computer vision. Based on a partbased probabilistic representation [31], we propose a new 3D object...
Hao Su, Min Sun, Li Fei-Fei, Silvio Savarese
DAGM
2009
Springer
16 years 1 months ago
Multi-view Object Detection Based on Spatial Consistency in a Low Dimensional Space
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...
Gurman Gill, Martin Levine
ICIP
2000
IEEE
16 years 8 months ago
Robust 2D Shape Estimation of Moving Objects Considering Spatial and Temporal Coherency in One Map Detection Rule
In this paper an algorithm for 2D shape estimation of moving objects is proposed, which reduces the estimation error compared to the ISO/MPEG-4 reference. The improvement is achie...
Roland Mech
CVPR
2009
IEEE
17 years 1 months ago
An Empirical Study of Context in Object Detection
This paper presents an empirical evaluation of the role of context in a contemporary, challenging object detection task – the PASCAL VOC 2008. Previous experiments with context...
Alexei A. Efros, Derek Hoiem, James Hays, Martial ...
ICIP
2007
IEEE
16 years 8 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson