Accurate motion detection using a self-adaptive background matching framework

IEEE Transactions on Intelligent Transportation Systems

Volumn 13, Issue 2, 2012, Pages 671-679

  Cheng, Fan Chieh ^a   Ruan, Shanq Jang ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Background matching framework; background model; motion detection; video surveillance

Indexed keywords

ABSOLUTE DIFFERENCE; ACCURATE MOTION DETECTION; ADAPTIVE BACKGROUND MODEL; BACKGROUND MATCHING FRAMEWORK; BACKGROUND MODEL; BACKGROUND PIXELS; CAUCHY DISTRIBUTION; COMPUTATIONAL COSTS; MATCHING METHODS; MOTION DETECTION; MOVING OBJECTS; QUANTITATIVE ACCURACY; SELF-ADAPTIVE; SOCIAL PROBLEMS; TERRORIST ACTIVITIES; THRESHOLD FUNCTIONS; VIDEO SURVEILLANCE; VIDEO SURVEILLANCE SYSTEMS; VISUAL INSPECTION;

MODELS;

SECURITY SYSTEMS;

EID: 84861861904     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2011.2174635     Document Type: Article

References (25)

1. M. Haagand H. H. Nagel, "Incremental recognition of traffic situations from video image seuences," Image Vis. Comput., vol. 18, no. 2, pp. 137-153, Jan. 2000. (Pubitemid 30526183)
2. G. Ginesu, D. D. Giusto,and V. Margner, "Detection of foreign bodies in food by thermal image processing," IEEE Trans. Ind. Electron., vol. 51, no. 2, pp. 480-490, Apr. 2004.
3. S. Parkand J. Aggarwal, "A hierarchical Bayesian network for event recognition of humanactionsand interactions," Multimedia Syst., vol. 10, no. 2, pp. 164-179, Aug. 2004.
4. A. C. Shastryand R. A. Schowengerdt, "Airborne video registrationand traffic-flow parameter estimation," IEEE Trans. Intell. Transp. Syst., vol. 6, no. 4, pp. 391-405, Dec. 2005. (Pubitemid 43015536)
5. J. Melo, A. Naftel, A. Bernardino,and J. Santos-Victor, "Detectionand classification of highway lanes using vehicle motion trajectories," IEEE Trans. Intell. Transp. Syst., vol. 7, no. 2, pp. 188-200, Jun. 2006.
6. H. Cheng, N. Zheng, X. Zhang, J. Qin,and H. Wetering, "Interactive road situationanalysis for driverassistanceand safety warning systems: Frameworkandalgorithms," IEEE Trans. Intell. Transp. Syst., vol. 8, no. 1, pp. 157-167, Mar. 2007.
7. M. Castrillon, O. Deniz, C. Guerra,and M. Hernandez, "ENCARA2: Real-time detection of multiple facesat different resolutions in video streams," J. Vis. Commun. Image R., vol. 18, no. 2, pp. 130-140, Apr. 2007. (Pubitemid 46497832)
8. S. Cherng, C.-Y. Fang, C.-P. Chen,and S.-W. Chen, "Critical motion detection of nearby moving vehicles ina vision-based driver-assistance system," IEEE Trans. Intell. Transp. Syst., vol. 10, no. 1, pp. 70-82, Mar. 2009.
9. A. Licsar, T. Sziranyi,and L. Czuni, "Trainable blotch detection on high resolutionarchive films minimizing the human interaction," Mach. Vis. Appl., vol. 21, no. 5, pp. 767-777, Aug. 2010.
10. A. Amditis, E. Bertolazzi, M. Bimpas, F. Biral, P. Bosetti, M. Da Lio, L. Danielsson, A. Gallione, H. Lind, A. Saroldi,and A. Sjögren, "A holisticapproach to the integration of safetyapplications: The INSAFES subproject within the European framework programme 6 integrating project PReVENT," IEEE Trans. Intell. Transp. Syst., vol. 11, no. 3, pp. 554-566, Sep. 2010.
11. M. Ding, Z. Tian, Z. Jin, M. Xu,and C. Cao, "Registration using robust kernel principal component for object-based change detection," IEEE Geosci. Remote Sens. Lett., vol. 7, no. 4, pp. 761-765, Oct. 2010.
12. J. L. Castro, M. Delgado, J. Medina,and M. D. Ruiz-Lozano, "An expert fuzzy system for predicting object collisions. Itsapplication foravoiding pedestrianaccidents," Expert Syst. Appl., vol. 38, no. 1, pp. 486-494, Jan. 2011.
13. W. Hu, T. Tan, L.Wang,and S.Maybank, "A survey on visual surveillance of object motionand behaviors," IEEE Trans. Syst.,Man, Cybern. C, Appl. Rev., vol. 34, no. 3, pp. 334-352, Aug. 2004.
14. C.-C. Chang, T.-L. Chia,and C.-K. Yang, "Modified temporal difference method for change detection," Opt. Eng., vol. 44, no. 2, pp. 1-10, Feb. 2005. (Pubitemid 40708796)
15. J.-E. Haand W.-H. Lee, "Foreground objects detection using multiple difference images," Opt. Eng., vol. 49, no. 4, p. 047 201, Apr. 2010.
16. F. Barranco, J. Diaz, E. Ros,and B. Pino, "Visual system based onartificial retina for motion detection," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 39, no. 3, pp. 752-762, Jun. 2009.
17. A. Doshiand A. G. Bors, "Smoothing of optical flow using robustified diffusion kernels," Image Vis. Comput., vol. 28, no. 12, pp. 1575-1589, Dec. 2010.
18. C. Staufferand W. E. L. Grimson, "Adaptive background mixture models for real-time tracking," in Proc. IEEE Comput. Vis. Pattern Recog., 1999, pp. 246-252.
19. A. Manzaneraand J. C. Richefeu, "A new motion detectionalgorithm based on S-? background estimation," Pattern Recognit. Lett., vol. 28, no. 3, pp. 320-328, Feb. 2007. (Pubitemid 44821434)
20. D.-M. Tsaiand S.-C. Lai, "Independent componentanalysis-based background subtraction for indoor surveillance," IEEE Trans. Image Process., vol. 18, no. 1, pp. 158-167, Jan. 2009.
21. S. Parkand J. Aggarwal, "A hierarchical Bayesian network for event recognition of humanactionsand interactions," Multimedia Syst., vol. 10, no. 2, pp. 164-179, Aug. 2004.
22. P. Remagnino, T. Tan,and K. Baker, "Multi-agent visual surveillance of dynamic scenes," Image Vis. Comput., vol. 16, no. 8, pp. 529-532, Jun. 1998. (Pubitemid 128641370)
23. Z. Zhu, G. Xu, B. Yang, D. Shi,and X. Lin, "VISATRAM: A realtime vision system forautomatic traffic monitoring," Image Vis. Comput., vol. 18, no. 10, pp. 781-794, Jul. 2000.
24. S. L. Dockstaderand A.M. Tekalp, "Multiple camera tracking of interactingand occluded human motion," Proc. IEEE, vol. 89, no. 10, pp. 1441-1455, Oct. 2001. (Pubitemid 33766631)
25. L. Maddalenaand A. Petrosino, "A self-organizingapproach to background subtraction for visual surveillanceapplications," IEEE Trans. Image Process., vol. 17, no. 7, pp. 1168-1177, Jul. 2008.