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» A Linear Programming Approach for Multiple Object Tracking
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IJCAI
2003
13 years 9 months ago
People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters
Estimating the location of people using a network of sensors placed throughout an environment is a fundamental challenge in smart environments and ubiquitous computing. Id-sensors...
Dirk Schulz, Dieter Fox, Jeffrey Hightower
TROB
2002
244views more  TROB 2002»
13 years 7 months ago
Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout
The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two f...
Mahesh Saptharishi, C. Spence Oliver, Christopher ...
ICPR
2004
IEEE
14 years 8 months ago
Extraction and Clustering of Motion Trajectories in Video
A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clus...
Dan Buzan, George Kollios, Stan Sclaroff
ICPR
2000
IEEE
14 years 3 days ago
Ball Tracking and Virtual Replays for Innovative Tennis Broadcasts
This paper presents a real-time computer vision system that tracks the motion of a tennis ball in 3D using multiple cameras. Ball tracking enables virtual replays, new game statis...
Gopal Sarma Pingali, Agata Opalach, Yves Jean
JUCS
2010
265views more  JUCS 2010»
13 years 6 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada