Preview

Herald of the Kazakh-British technical university

Advanced search

COMPARATIVE ANALYSIS OF TRACKING OBJECTS USING DIFFERENT METHODOLOGIES

Abstract

Object tracking is very vital task in many application of computer vision such as surveillance, vehicle navigation, autonomous robot navigation, etc. It contains detection of amusing moving objects and tracking of such objects from frame to frame. Its main task is to find and follow a moving object or multiple objects in image sequences. This paper present a brief survey of various video object tracking techniques like radar, sensor networks and wireless tracking algorithms. Also it presents Comparative study of all the techniques.

About the Authors

A. Razaque
International IT University
Kazakhstan


K. Gani
International IT University
Kazakhstan


A. Karimkhanova
International IT University
Kazakhstan


S. T. Amanzholova
International IT University
Kazakhstan


Y. Almassov
International IT University
Kazakhstan


D. Sovetov
International IT University
Kazakhstan


M. Tursynbai
International IT University
Kazakhstan


References

1. Enck, William, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick McDaniel, and Anmol N. Sheth. “TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones.” ACM Transactions on Com­puter Systems (TOCS) 32, no. 2 (2014)

2. Fu, Huiqing, Yulong Yang, Nileema Shingte, Janne Lindqvist, and Marco Gruteser. “A field study of run-time location access disclosures on android smartphones.” Proc. USEC 14 (2014)

3. Almuhimedi, Hazim, Florian Schaub, Norman Sadeh, Idris Adjerid, Alessandro Acquisti, Joshua Gluck, Lorrie Faith Cranor, and Yuvraj Agarwal. “Your Location has been Shared 5,398 Times!: A Field Study on Mobile App Privacy Nudging.” In Proceedings of the 33rd Annual ACM Con­ference on Human Factors in Computing Systems, pp. 787-796. ACM, 2015

4. Chen, Pi-Chun. “A cellular based mobile location tracking system.” In Vehicular Technology Conference, 1999 IEEE 49th, vol. 3, pp. 1979-1983. IEEE, 1999

5. Barkhuus, Louise, and Anind K. Dey. “Location-Based Services for Mobile Telephony: a Study of Users’ Privacy Concerns.” In INTERACT, vol. 3, pp. 702-712. 2003

6. Lindqvist, Janne, Justin Cranshaw, Jason Wiese, Jason Hong, and John Zimmerman. “I’m the mayor of my house: examining why people use foursquare-a social-driven location sharing appli­cation.” In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2409-2418. ACM, 2011

7. Tseng, Yu-Chee, Sheng-Po Kuo, Hung-Wei Lee, and Chi-Fu Huang. “Location tracking in a wire­ less sensor network by mobile agents and its data fusion strategies.” The Computer Journal 47, no. 4 (2004): 448-460.

8. Haney, Richard D. “Location sharing and tracking using mobile phones or other wireless devic­es.” U.S. Patent 7,353,034, issued April 1, 2008.

9. Chong, Kok-Keong, and Chee-Woon Wong. General Formula for On-Axis Sun-Tracking System. INTECH Open Access Publisher, 2010.

10. Saroiu, Stefan, and Alec Wolman. “Enabling new mobile applications with location proofs.” In Proceedings of the 10th workshop on Mobile Computing Systems and Applications, p. 3. ACM, 2009.

11. Liu, Hui, et al. “Survey of wireless indoor positioning techniques and systems.” Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 37.6 (2007): 1067­-1080.

12. Chong, Kok-Keong, and Chee-Woon Wong. General Formula for On-Axis Sun-Tracking System. INTECH Open Access Publisher, 2010.

13. Saroiu, Stefan, and Alec Wolman. “Enabling new mobile applications with location proofs.” In Proceedings of the 10th workshop on Mobile Computing Systems and Applications, p. 3. ACM, 2009.

14. Liu, Hui, et al. “Survey of wireless indoor positioning techniques and systems.” Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on 37.6 (2007): 1067­-1080.

15. A. Doucet, N. de Freitas, and N. Gordon, Eds., Sequential Monte Carlo Methods in Practice, ser. Statistics for Engineering and Information Science. Springer, 2001.

16. B. Ristic, S. Arulampalam, and N. Gordon, Beyond the Kalman Filter, Particle Filters for Tracking Applications. Boston, London: Artech House, 2004.

17. S. Ali-L "oytty, N. Sirola, and R. Piche, “Consistency of three Kalman filter extensions in hybrid navigation,” in Proceedings of The European Navigation Conference GNSS 2005, Munich, Ger­many, July 2005

18. Bhatti, Sania, and Jie Xu. “Survey of target tracking protocols using wireless sensor net­work.” Wireless and Mobile Communications, 2009. ICWMC’09. Fifth International Conference on. IEEE, 2009.

19. Active Badge System, Web Site, 2008, http://www.cl.cam.ac.uk/ research/dtg/attarchive/ab.html

20. Cybernet Interactive, Firefly Motion Capture System, 2008, http://www.cybernet.com/interactive/firefly/index.html

21. ”Firefly Motion Tracking System User’s guide”, 1999, http://www.gesturecentral.com/firefly/FireflyUserGuide.pdf

22. Northen Digital Inc. Website, Optotrak, 2008, http://www.ndigital.com/

23. R. States and E. Pappas ’’Precision and repeatability of the Optotrak 3020 motion measurement system”, J. Medical Engineering and Technology, vol. 30, no. 1, 2006, pp. 1-16.


Review

For citations:


Razaque A., Gani K., Karimkhanova A., Amanzholova S.T., Almassov Y., Sovetov D., Tursynbai M. COMPARATIVE ANALYSIS OF TRACKING OBJECTS USING DIFFERENT METHODOLOGIES. Herald of the Kazakh-British technical university. 2019;16(3):193-199.

Views: 265


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1998-6688 (Print)
ISSN 2959-8109 (Online)