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» Probabilistic Object Tracking Using Multiple Features
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WACV
2007
IEEE
14 years 3 months ago
Homography-based Analysis of People and Vehicle Activities in Crowded Scenes
This paper presents an new framework for homographybased analysis of pedestrian-vehicle activity in crowded scenes. Planar homography constraint is exploited to extract view-invar...
Sangho Park, Mohan M. Trivedi
ECCV
2002
Springer
14 years 11 months ago
Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
This paper describes techniques for fusing the output of multiple cues to robustly and accurately segment foreground objects from the background in image sequences. Two different m...
Eric Hayman, Jan-Olof Eklundh
ICCV
2005
IEEE
14 years 2 months ago
LOCUS: Learning Object Classes with Unsupervised Segmentation
We address the problem of learning object class models and object segmentations from unannotated images. We introduce LOCUS (Learning Object Classes with Unsupervised Segmentation...
John M. Winn, Nebojsa Jojic
ICCV
2011
IEEE
12 years 9 months ago
Realtime Multibody Visual SLAM with a Smoothly Moving Monocular Camera
This paper presents a realtime, incremental multibody visual SLAM system that allows choosing between full 3D reconstruction or simply tracking of the moving objects. Motion recon...
Abhijit Kundu, Madhava Krishna, C. V. Jawahar
CVPR
2004
IEEE
14 years 11 months ago
Fast, Integrated Person Tracking and Activity Recognition with Plan-View Templates from a Single Stereo Camera
Copyright 2004 IEEE. Published in Conference on Computer Vision and Pattern Recognition (CVPR-2004), June 27 - July 2, 2004, Washington DC. Personal use of this material is permit...
Michael Harville, Dalong Li