learning-based computer vision approach for the inference of articulated motion
Book Details
Format
Paperback / Softback
ISBN-10
3898216020
ISBN-13
9783898216029
Publisher
ibidem-Verlag, Jessica Haunschild u Christian Schon
Imprint
ibidem-Verlag, Jessica Haunschild u Christian Scho
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 8th, 2005
Print length
204 Pages
Weight
295 grams
Product Classification:
Computer science
Ksh 6,100.00
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Computer vision approaches to human motion analysis have received considerable attention from different research areas over the past couple of years. The strong interest is largely due to their various applications in surveillance, driver assistance systems, human-computer interfaces, marker-less motion capture, biomedical engineering and computer graphics. This thesis investigates the computational integration of different visual representations for the detection of human bodies and the analysis of their movements in both indoor and unconstrained outdoor envi-ronments. New image coding schemes are presented in combination with methods from machine learning and dynamic filtering to address issues of complexity, robustness and generalization.
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