NDLI: Active Planning, Sensing, and Recognition Using a Resource-Constrained Discriminant POMDP

Content Provider	IEEE Xplore Digital Library
Author	Zhaowen Wang Zhangyang Wang Moll, M. Po-Sen Huang Grady, D. Nasrabadi, N. Huang, T. Kavraki, L. Hasegawa-Johnson, M.
Copyright Year	2014
Description	Author affiliation: U.S. Army Res. Lab., Adelphi, MD, USA (Nasrabadi, N.) \|\| Beckman Inst., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA (Zhaowen Wang; Zhangyang Wang; Po-Sen Huang; Huang, T.; Hasegawa-Johnson, M.) \|\| Dept. of Comput. Sci., Rice Univ., Houston, TX, USA (Moll, M.; Grady, D.; Kavraki, L.)
Abstract	In this paper, we address the problem of object class recognition via observations from actively selected views/modalities/features under limited resource budgets. A Partially Observable Markov Decision Process (POMDP) is employed to find optimal sensing and recognition actions with the goal of long-term classification accuracy. Heterogeneous resource constraints -- such as motion, number of measurements and bandwidth -- are explicitly modeled in the state variable, and a prohibitively high penalty is used to prevent the violation of any resource constraint. To improve recognition performance, we further incorporate discriminative classification models with POMDP, and customize the reward function and observation model correspondingly. The proposed model is validated on several data sets for multi-view, multi-modal vehicle classification and multi-view face recognition, and demonstrates improvement in both recognition and resource management over greedy methods and previous POMDP formulations.
Sponsorship	IEEE Comput. Soc.
Starting Page	754
Ending Page	761
File Size	868699
Page Count	8
File Format	PDF
ISBN	9781479943081
ISSN	21607516
DOI	10.1109/CVPRW.2014.116
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Accuracy Face recognition Markov processes Data models Sensors Vehicles
Content Type	Text
Resource Type	Article

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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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