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ICCV
2003
IEEE
14 years 10 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer
JMM2
2007
212views more  JMM2 2007»
13 years 8 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...
ISBI
2009
IEEE
14 years 3 months ago
Multiple Hypothesis Tracking in Microscopy Images
Multiple hypothesis tracking (MHT) is a preferred technique for solving the data association problem in modern multiple target tracking systems. However in bioimaging applications...
Nicolas Chenouard, Isabelle Bloch, Jean-Christophe...
ADBIS
2009
Springer
128views Database» more  ADBIS 2009»
14 years 3 months ago
Detecting Moving Objects in Noisy Radar Data Using a Relational Database
Abstract. In moving object databases, many authors assume that number and position of objects to be processed are always known in advance. Detecting an unknown moving object and pu...
Andreas Behrend, Rainer Manthey, Gereon Schül...
ICPR
2006
IEEE
14 years 10 months ago
A Moving Object Tracked by A Mobile Robot with Real-Time Obstacles Avoidance Capacity
This paper describes a robotic application that tracks a moving object by utilizing a mobile robot with multiple sensors. The robotic platform uses a visual camera to sense the mo...
Andreas Koschan, Chang Cheng, Chung-Hao Chen, Davi...