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» A Linear Programming Approach for Multiple Object Tracking
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IJCAI
2003
15 years 3 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»
15 years 1 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 ...
120
Voted
ICPR
2004
IEEE
16 years 3 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
109
Voted
ICPR
2000
IEEE
15 years 6 months 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»
15 years 18 days 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