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» Tracking in a Dense Crowd Using Multiple Cameras
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CVPR
2012
IEEE
11 years 10 months ago
An online learned CRF model for multi-target tracking
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
Bo Yang, Ram Nevatia
CLEAR
2006
Springer
230views Biometrics» more  CLEAR 2006»
13 years 11 months ago
An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR'06 Evaluation Dataset
We present an approach for tracking a lecturer during the course of his speech. We use features from multiple cameras and microphones, and process them in a joint particle filter f...
Kai Nickel, Tobias Gehrig, Hazim Kemal Ekenel, Joh...
ROBIO
2006
IEEE
249views Robotics» more  ROBIO 2006»
14 years 1 months ago
Vision and Laser Data Fusion for Tracking People with a Mobile Robot
— In this paper we present a multi-sensor fusion system for tracking people with a mobile robot, which integrates the information provided by a laser range sensor and a PTZ camer...
Nicola Bellotto, Huosheng Hu
SI3D
2003
ACM
14 years 27 days ago
Interactive image-based rendering using feature globalization
Image-based rendering (IBR) systems enable virtual walkthroughs of photorealistic environments by warping and combining reference images to novel viewpoints under interactive user...
Daniel G. Aliaga, Dimah Yanovsky, Thomas A. Funkho...
ICCV
2003
IEEE
14 years 29 days ago
Computing MAP trajectories by representing, propagating and combining PDFs over groups
This paper addresses the problem of computing the trajectory of a camera from sparse positional measurements that have been obtained from visual localisation, and dense differenti...
Paul Smith, Tom Drummond, Kimon Roussopoulos