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» Self-Organizing, Adaptive Data Fusion for 3d Object Tracking
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VMV
2001
248views Visualization» more  VMV 2001»
13 years 6 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
ICPR
2004
IEEE
14 years 5 months ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer
ICCV
2009
IEEE
13 years 2 months ago
Tracking a large number of objects from multiple views
We propose a multi-object multi-camera framework for tracking large numbers of tightly-spaced objects that rapidly move in three dimensions. We formulate the problem of finding co...
Zheng Wu, Nickolay I. Hristov, Tyson L. Hedrick, T...
CLEAR
2007
Springer
145views Biometrics» more  CLEAR 2007»
13 years 10 months ago
Multi-person Tracking Strategies Based on Voxel Analysis
Abstract. This paper presents two approaches to the problem of simultaneous tracking of several people in low resolution sequences from multiple calibrated cameras. Spatial redunda...
Cristian Canton-Ferrer, Jordi Salvador, Josep R. C...
FTDCS
2004
IEEE
13 years 8 months ago
Friendly Object Tracking and Foreign Object Detection and Localization with an SDAC Wireless Sensor Network
This paper presents a proof-of-concept wireless sensor network for detecting and tracking friendly objects and detecting and localizing foreign objects. The network incorporates a...
Douglas Stark, Jesse Davis