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» A Trainable System for Object Detection
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AIPS
2011
14 years 1 months ago
Planning to Perceive: Exploiting Mobility for Robust Object Detection
Consider the task of a mobile robot autonomously navigating through an environment while detecting and mapping objects of interest using a noisy object detector. The robot must re...
Javier Vélez, Garrett Hemann, Albert S. Hua...
94
Voted
CVPR
2009
IEEE
1002views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Classifier Grids for Robust Adaptive Object Detection
In this paper we present an adaptive but robust object detector for static cameras by introducing classifier grids. Instead of using a sliding window for object detection we pro...
Peter M. Roth, Sabine Sternig, Helmut Grabner, Hor...
CORR
2011
Springer
205views Education» more  CORR 2011»
14 years 4 months ago
Detection of objects in noisy images and site percolation on square lattices
Abstract: We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algori...
Mikhail A. Langovoy, Olaf Wittich
CVPR
2003
IEEE
15 years 11 months ago
The Optimal Distance Measure for Object Detection
We develop a multi-class object detection framework whose core component is a nearest neighbor search over object part classes. The performance of the overall system is critically...
Shyjan Mahamud, Martial Hebert
EVOW
2005
Springer
15 years 3 months ago
A Multistage Approach to Cooperatively Coevolving Feature Construction and Object Detection
In previous work, we showed how cooperative coevolution could be used to evolve both the feature construction stage and the classification stage of an object detection algorithm. ...
Mark E. Roberts, Ela Claridge