NDLI: Structural SVM for visual localization and continuous state estimation

Content Provider	IEEE Xplore Digital Library
Author	Ionescu, C. Liefeng Bo Sminchisescu, C.
Copyright Year	2009
Description	Author affiliation: TTI-Chicago, USA (Liefeng Bo) \|\| University of Bonn, Germany (Ionescu, C.; Sminchisescu, C.)
Abstract	We present an integrated model for visual object localization and continuous state estimation in a discriminative structured prediction framework. While existing discriminative ‘prediction through time’ methods have showed remarkable versatility for visual reconstruction and tracking problems, they tend to assume that the input is known (or the object is segmented) a condition that can rarely be accommodated in images of real scenes. Our structural Support Vector Machine (structSVM) framework offers an end-to-end training and inference framework that overcomes these limitations by consistently searching both in the space of possible inputs (effectively an efficient form of object localization) and in the space of possible structured outputs, given those inputs. We demonstrate the potential of this methodology for 3d human pose reconstruction in monocular images both in the HumanEva benchmark, where 3d ground truth is available, and qualitatively, in un-instrumented images of real $scenes.^{1}$
Starting Page	1157
Ending Page	1164
File Size	1217565
Page Count	8
File Format	PDF
ISBN	9781424444205
ISSN	15505499
DOI	10.1109/ICCV.2009.5459346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-29
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines State estimation Image reconstruction Layout Object detection Image segmentation Humans Face detection Runtime Predictive models
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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