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Pericles: a performance evaluation platform for indoor localization systems

Published: 01 November 2011 Publication History

Abstract

People Localization and Tracking (PLT) systems are in charge of providing information about mobile agents to components providing higher level services. This low level knowledge usually consists of the dynamic position (or more generally the dynamic pose) of mobile agents and can sometimes include the identity of mobile agents. Currently, both commercial and accademic/research PLT systems exist, but a comparison among them is difficult, as it is often difficult to compare experiments and to reproduce them in different systems. This has motivated our work in designing and realizing an evaluation platform, namely pericles, based on the use of off-the-shelf hardware. In this work we present the platform, to be used by the community for experimenting and testing different PLTs, its design choices, the implementation details and we discuss how it has been validated by using it for the testing of a PLT sytems we are currently developing (but which is out of the scope of the present paper).

References

[1]
S. Bahadori, L. Iocchi, G. Leone, D. Nardi, and L. Scozzafava. Real-time people localization and tracking through fixed stereo vision. Applied Intelligence, 26:83--97, 2007.
[2]
R. Baldoni, C. Di Ciccio, M. Mecella et al. An embedded middleware platform for pervasive and immersive environments for-all. In Workshops of 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, 2009.
[3]
M. Bouet and A. dos Santos. RFID tags: Positioning principles and localization techniques. In Wireless Days, 2008. WD '08. 1st IFIP.
[4]
J. Cui, H. Zha, H. Zhao, and R. Shibasaki. Tracking multiple people using laser and vision. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005 (IROS 2005).
[5]
B. Farnsworth and D. Taylor. High-precision 2.4 Ghz DSSS RF ranging. In Proceedings of the 2011 International Technical Meeting of The Institute of Navigation, 2011.
[6]
A. Hampapur, L. Brown, J. Connell, A. Ekin, N. Haas, M. Lu, H. Merkl, and S. Pankanti. Smart video surveillance: exploring the concept of multiscale spatiotemporal tracking. Signal Processing Magazine, IEEE, 22(2):38--51, march 2005.
[7]
M. Harville. Stereo person tracking with adaptive plan-view templates of height and occupancy statistics. Image and Vision Computing, 22(2):127--142, 2004.
[8]
C. S. Jensen, Hua Lu, and Bin Yang. Graph Model Based Indoor Tracking. Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 2009.
[9]
A. Kealy, G. Roberts, and G. Retscher. Evaluating the performance of low cost MEMS inertial sensors for seamless indoor/outdoor navigation. Position Location and Navigation Symposium (PLANS), IEEE/ION, 2010.
[10]
F. Leotta. A service-based people localization and tracking system for domotic applications. Master's thesis, SAPIENZA Università di Roma, 2010. http://www.dis.uniroma1.it/~leotta/publications/master_thesis.pdf.
[11]
H. Liu, H. Darabi, P. Banerjee, and J. Liu. Survey of wireless indoor positioning techniques and systems. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 37(6):1067--1080, 2007.
[12]
A. Mittal and L. S. Davis. M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene. International Journal of Computer Vision, 51:189--203, 2003. 10.1023/A:1021849801764.
[13]
R. Muñoz-Salinas, M. Garcia-Silvente, and R. M. Carnicer. Adaptive multi-modal stereo people tracking without background modelling. Journal of Visual Communication and Image Representation, 19(2):75--91, 2008.
[14]
A. Nasipuri and R. el Najjar. Experimental evaluation of an angle based indoor localization system. In 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2006.
[15]
L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil. LANDMARC: indoor location sensing using active RFID. Wireless Networks, 10(6):701--710, 2004.
[16]
S. Pellegrini and L. Iocchi. Human posture tracking and classification through stereo vision and 3d model matching. J. Image Video Process., 2008:7:1--7:12, January 2008.
[17]
C. Regazzoni, A. Cavallaro, Y. Wu, J. Konrad, and A. Hampapur. Video analytics for surveillance: Theory and practice {from the guest editors}. Signal Processing Magazine, IEEE, 27(5):16--17, sept. 2010.
[18]
T. Roos, P. Myllymaki, H. Tirri, P. Misikangas, and J. Sievanen. A probabilistic approach to wlan user location estimation. International Journal of Wireless Information Networks, 9:155--164, 2002. 10.1023/A:1016003126882.
[19]
J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio, R. Moore, A. Kipman, and A. Blacke. Real-rime human pose recognition in parts from single depth images. In Computer Vision and Pattern Recognition, 2011.
[20]
F. Viani, P. Rocca, M. Benedetti, G. Oliveri, and A. Massa. Electromagnetic passive localization and tracking of moving targets in a wsn-infrastructured environment. Inverse Problems, 26(7):074003, 2010.
[21]
M. Wallbaum and S. Diepolder. Benchmarking wireless lan location systems wireless lan location systems. In 2nd IEEE International Workshop on Mobile Commerce and Services (WMCS '05), 2005.
[22]
C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland. Pfinder: real-time tracking of the human body. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 19(7):780--785, jul 1997.
[23]
T. Zhao, R. Nevatia, and B. Wu. Segmentation and tracking of multiple humans in crowded environments. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 30(7):1198--1211, july 2008.

Cited By

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  • (2019)PLaTHEASoftware—Practice & Experience10.1002/spe.226245:6(801-835)Online publication date: 4-Jan-2019
  • (2013)On the comparability of indoor localization systems' accuracyProceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness10.1145/2533810.2533815(21-28)Online publication date: 5-Nov-2013

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cover image ACM Conferences
ISA '11: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
November 2011
64 pages
ISBN:9781450310352
DOI:10.1145/2077357
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 November 2011

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  1. experimental platform
  2. indoor localization

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Cited By

View all
  • (2019)PLaTHEASoftware—Practice & Experience10.1002/spe.226245:6(801-835)Online publication date: 4-Jan-2019
  • (2013)On the comparability of indoor localization systems' accuracyProceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness10.1145/2533810.2533815(21-28)Online publication date: 5-Nov-2013

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