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» A Boundary-Fragment-Model for Object Detection
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BMVC
1998
15 years 1 months ago
Detection and Tracking of Very Small Low Contrast Objects
We present a Kalman tracking algorithm that can track a number of very small, low contrast objects through an image sequence taken from a static camera. The issues that we have ad...
D. Davies, Phil L. Palmer, Majid Mirmehdi
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
14 years 9 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
ICCV
2011
IEEE
13 years 11 months ago
Object Detection and Segmentation from Joint Embedding of Parts and Pixels
We present a new framework in which image segmentation, figure/ground organization, and object detection all appear as the result of solving a single grouping problem. This frame...
Michael Maire, Stella X. Yu, Pietro Perona
EDO
2000
Springer
15 years 3 months ago
Using Model Checking to Detect Deadlocks in Distributed Object Systems
Abstract. We demonstratehow the use of synchronizationprimitives and threading policies in distributed object middleware can lead to deadlocks. We identify that objectmiddleware on...
Nima Kaveh
ECCV
2010
Springer
15 years 26 days ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...