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» A Trainable System for Object Detection
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DICTA
2009
13 years 7 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
CLOR
2006
13 years 10 months ago
The Trace Model for Object Detection and Tracking
We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
Sachin Gangaputra, Donald Geman

Publication
172views
12 years 1 months ago
Beyond Straight Lines - Object Detection using Curvature
We present an approach that directly uses curvature cues in a discriminative way to perform object recognition. We show that integrating curvature information substantially impr...
Antonio Monroy, Angela Eigenstetter and Björn Omm...
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 4 months ago
An integrated probabilistic model for scan-matching, moving object detection and motion estimation
Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi
SCIA
2005
Springer
211views Image Analysis» more  SCIA 2005»
14 years 6 days ago
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
Lucas Paletta, Gerald Fritz, Christin Seifert