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» Tracking Pedestrians Under Occlusion Using Multiple Cameras
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BMVC
1998
13 years 8 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
AVSS
2003
IEEE
14 years 21 days ago
A Distributed Visual Surveillance System
We present a distributed vision-based surveillance system. The system acquires and processes grey level images through one or multiple Camera Units monitoring certain area(s) via ...
Xiaojing Yuan, Zehang Sun, Yaakov L. Varol, George...
ICCV
2009
IEEE
13 years 5 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
ISVC
2010
Springer
13 years 5 months ago
Exploiting Multiple Cameras for Environmental Pathlets
Abstract. We present a novel multi-camera framework to extract reliable pathlets [1] from tracking data. The proposed approach weights tracks based on their spatial and orientation...
Kevin Streib, James W. Davis
ICCV
2005
IEEE
14 years 1 months ago
A Model-Based Vehicle Segmentation Method for Tracking
Our goal is to detect and track moving vehicles on a road observed from cameras placed on poles or buildings. Inter-vehicle occlusion is significant under these conditions and tra...
Xuefeng Song, Ramakant Nevatia