A Cooperative Object Tracking System with Fuzzy-Based Adaptive Camera Selection

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

7
Reader(s)
34
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 3 , ISSUE 3 (September 2010) > List of articles

A Cooperative Object Tracking System with Fuzzy-Based Adaptive Camera Selection

Kazuyuki Morioka * / Szilveszter Kovacs * / Joo-Ho Lee * / Peter Korondi *

Keywords : intelligent environment, object tracking, camera selection, fuzzy automaton

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 3, Issue 3, Pages 338-358, DOI: https://doi.org/10.21307/ijssis-2017-396

License : (CC BY-NC-ND 4.0)

Published Online: 13-December-2017

ARTICLE

ABSTRACT

The intelligent environments, built upon many distributed sensors, are promising technology for ubiquitous interaction between robots and human beings. Especially, it is important to track target objects and get the positional information of them in such environments. This paper focuses on adapting camera selection for target tracking in multi-camera system. In this paper, a fuzzy automaton based camera selection method is introduced. In the proposed method, the camera selection decision is driven by fuzzy automaton based on the previously selected camera (previous camera state) and the
tracking level of the object in each available camera. Simulations for evaluation of the proposed method and comparison with the previous method are presented. The results show that the proposed method is efficient for adaptive camera selection in multi-camera environment and helps easy construction of multi-camera placement. An actual multi-camera system with the proposed camera selection method was developed for checking tracking performance in the real environment. Experiments in the constructed system show that the proposed method suits well the camera selection task for tracking a moving object in the real intelligent environment.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] Tomomasa Sato, Tatsuya Harada, Taketoshi Mori, ``Environment-Type Robot System `Robotic Room' Featured by Behavior Media, Behaviour Contents, and Behavior Adaptation'',IEEE/ASME Transactions on Mechatronics, Vol.9, No.3, pp.529-534, 2004
[2] J.-H. Lee, H.Hashimoto, ``Intelligent Space - concept and contents'', Advanced Robotics,Vol.16, No.3, pp.265-280, 2002.
[3] K. F. MacDorman, H. Nobuta, T. Ikeda, S. Koizumi, and H. Ishiguro, ``A memory-based distributed vision system that employs a form of attention to recognize group activity at a subway station'', IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.571-576, 2004
[4] K.S. Huang and M.M. Trivedi, "Video arrays for real-time tracking of person, head, and face in an intelligent room", Machine Vision and Applications, Vol.14, No.2, pp.103-111, 2003
[5] M. Chu, H. Haussecker and F. Zhao, "Scalable Information-Driven Sensor Querying and Routing for ad hoc Heterogeneous Sensor Networks", International Journal of High Performance Computing Applications, Vol.16, No.3, pp.293-313, 2002
[6] L. Liu, H. Ma and X. Zhang, "Optimal Camera Selection for Target Localization in Camera Sensor Networks", Proc. of CISS2008, pp.140-145, 2008
[7] Volkan Isler and Ruzena Bajcsy,"The sensor selection problem for bounded uncertainty sensing models", Proceedings of the 4th international symposium on Information processing in sensor networks, pp.151-158, 2005
[8] D.B. Yang, J. Shin, A.O. Ercan and L.J. Guibas, "Sensor Tasking for Occupancy Reasoning in Network of Cameras", Proceedings of BASENETS, 2004
[9] Joo-Ho Lee, Kazuyuki Morioka, Noriaki Ando, Hideki Hashimoto, "Cooperation of Distributed Intelligent Sensors in Intelligent Environment", IEEE/ASME Trans. on Mechatronics,Vol.9, No.3, pp.535-543, 2004
[10] Kazuyuki Morioka, Joo-Ho Lee, Hideki Hashimoto, "Human-Following Mobile Robot in a Distributed Intelligent Sensor Network", IEEE Transactions on Industrial Electronics, Vol.51,No.1, pp.229-237, 2004
[11] Szilveszter Kovacs, Peter Korondi, Hideki Hashimoto, ``Adaptive personalization of the Intelligent Space by Fuzzy Automaton'', Int. Symp. of Hungarian Researchers on Computational Intelligence, pp.131-141, 2006
[12] Sz. Kovacs, L.T. Koczy, ``The use of the concept of vague environment in approximate fuzzy reasoning, Fuzzy Set Theory and Applications'', Tatra Mountains Mathematical Publications, Mathematical Institute Slovak Academy of Sciences, vol.12., Bratislava, Slovakia,pp.169-181, 1997 Kazuyuki Morioka, Szilveszter Kovacs, Joo-Ho Lee, Peter Korondi, A COOPERATIVE OBJECT TRACKING SYSTEM WITH FUZZY-BASED ADAPTIVE CAMERA SELECTION
[13] Sz. Kovacs, ``Extending the Fuzzy Rule Interpolation ``FIVE'' by Fuzzy Observation'',Advances in Soft Computing, Computational Intelligence, Theory and Applications, Bernd Reusch (Ed.), Springer Germany, pp.485-497, 2006
[14] Sz. Kovacs, N. Kubota, K. Fujii, L.T. Koczy, ``Behaviour based techniques in user adaptive Kansei technology'', Proceedings of the VSMM2000, 6th International Conference on Virtual Systems and Multimedia, October 3-6, Ogaki, Gifu, Japan, pp.362-369, 2000
[15] Sz. Kovacs, ``Fuzzy Reasoning and Fuzzy Automata in User Adaptive Emotional and Information Retrieval Systems'', Proceedings of the 2002 IEEE International Conference on Systems, Man and Cybernetics, October 6-9, Hammamet, Tunisia, WP1N5, p.6, 2002
[16] Sz. Kovacs, ``Interpolation-based Fuzzy Reasoning as an Application Oriented Approach'',Acta Polytechnica Hungarica, Journal of Applied Sciences at Budapest Tech Hungary, Special Issue on Computational Intelligence, Guest Editor: Imre J. Rudas, Vol.2, No.1, pp.93-107, 2005
[17] Sz. Kovacs, ``Interpolative Fuzzy Reasoning in Behaviour-based Control'', Advances in Soft Computing, Vol. 2, Computational Intelligence, Theory and Applications, Bernd Reusch (Ed.), Springer, Germany, pp.159-170, 2005
[18] Kazuyuki Morioka, Szilveszter Kovacs, Joo-Ho Lee, Peter Korondi, Hideki Hashimoto,"Fuzzy-Based camera Selection for Object Tracking in a Multi-Camera System", Proceedings of Conference on Human System Interaction (HSI'08), pp.767-772, May 25-27, 2008
[19] Z. Zhang, "A flexible new technique for camera calibration", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.22, No.11, pp.1330-1334, 2000
[20] Noriaki ANDO, Takashi SUEHIRO, Kosei KITAGAKI, Tetsuo KOTOKU, Woo-Keun Yoon, "RT-Middleware: Distributed Component Middleware for RT (Robot Technology)", 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2005), pp.3555-3560, 2005

EXTRA FILES

COMMENTS