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» Tracking Objects Using Recognition
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134
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ICIP
2009
IEEE
15 years 1 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
121
Voted
CVPR
2009
IEEE
15 years 10 months ago
Trajectory parsing by cluster sampling in spatio-temporal graph
The objective of this paper is to parse object trajectories in surveillance video against occlusion, interruption, and background clutter. We present a spatio-temporal graph (ST-G...
Xiaobai Liu, Liang Lin, Song Chun Zhu, Hai Jin
CORR
2007
Springer
135views Education» more  CORR 2007»
15 years 3 months ago
AMIEDoT: An annotation model for document tracking and recommendation service
The primary objective of document annotation in whatever form, manual or electronic is to allow those who may not have control to original document to provide personal view on inf...
Charles A. Robert
IWPC
2003
IEEE
15 years 8 months ago
Using Run-Time Data for Program Comprehension
Traditional approaches for program comprehension use static program analysis or dynamic program analysis in the form of execution traces. Our approach, however, makes use of runti...
Thomas Gschwind, Johann Oberleitner, Martin Pinzge...
IPMI
1993
Springer
15 years 7 months ago
The Use of Active Shape Models for Locating Structures in Medical Images
Thispaperdescribesatechniqueforbuildingcompactmodelsoftheshapeandappearance offlexibleobjects(suchasorgans)seenin2-Dimages. Themodelsarederivedfromthestatisticsof setsof labelled i...
Timothy F. Cootes, Andrew Hill, Christopher J. Tay...