Detection of Moving Objects in Image Sequences using 3D Velocity Filters

Sam Schauland 1 , Joerg Velten 1  and Anton Kummert 1
  • 1 Faculty of Electrical, Information and Media Engineering, University of Wuppertal, 42097 Wuppertal, Germany

Detection of Moving Objects in Image Sequences using 3D Velocity Filters

A movement analysis of objects contained in visual scenes can be performed by means of linear multidimensional filters, which have already been analyzed in the past. While the soundness of the results was convincing, interest in those systems declined due to the limited computational power of contemporary computers. Recent advances in design and implementation of integrated circuits and hardware architectures allow realizing velocity filters if the n-D system is carefully adapted to the analyzed problem. In this paper, the fundamental principles of visual scene analysis by linear multidimensional filters are examined with respect to possible sources of degradation. The extraction of movement information and its practical use are demonstrated using a wave digital filter (WDF) implementation.

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  • Bartley N. and Bruton L. (1987). The design of highly selective adaptive three dimensional recursive cone filters, IEEE Transactions on Circuits and Systems 34(7): 775-781.

  • Bartley N. R. and Bruton L. T. (1986). The enhancement and tracking of moving objects in digital images using adaptive three dimensional recursive cone filters, IEEE Transactions on Circuits and Systems 33(6): 604-611.

  • Bolle M. (1992). Entwurfsverfahren fuer mehrdimensionale diskrete Faecherfilter, Ph.D. thesis, Ruhr-Universitaet Bochum, Germany.

  • Bruton L. T. and Bartley N. R. (1985). Three dimensional image processing using the concept of network resonance, IEEE Transactions on Circuits and Systems 32(7): 664-672.

  • Christie P.A.F, Hugher V.J. and Kennett B.L.N (1983). Velocity filtering of seismic reflection data, First Break 1(3): pp. 9-24.

  • Dansereau D. and Bruton L. (2007). A 4-D dual fan filter bank for depth filtering in light fields, IEEE Transactions on Signal Processing. 55(2): 542-549.

  • Dudgeon D. E. and Mersereau R. M. (1984). Multidimensional Digital Signal Processing. Prentice-Hall, New Jersey, USA.

  • Fettweis A. (1986). Wave Digital Filters: Theory and Practice, European Association for Signal Processing (EURASIP)—EURASIP Short Course.

  • Fettweis A. and Meerkoetter K. (1975). Suppression of parasitic oscillations in wave digital filters, IEEE Transactions on Circuits and Systems 22(12): 239-246.

  • Gandhi T. and Trivedi M. M. (2006). Pedestrian collision avoidance systems: A survey of computer vision based recent studies, Proceedings of the IEEE Conference on Intelligent Transportation Systems, Toronto, Canada, pp. 976-981.

  • Lu W.-S. and Antoniou A. (1992). Two-Dimensional Digital Filters, Boca Raton, FL, CRC Press.

  • Marzetta T. L. (1994). Fan filters, the 3-D Radon transform, and image sequence analysis, IEEE Transactions on Image Processing, 3(3): 253-264.

  • Runze G. (2005). Entwurf dreidimensionaler digitaler Geschwindigkeitsfilter zur Separation unterschiedlicher Geschwindigkeitskomponenten eines Signals, Ph.D. thesis, Universitaet Erlangen-Nuernberg, Germany.

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