Abstract
Image mosaicing is stirring up a lot of interests in the research community for both its scientific significance and potential spin-off in real world applications. Being able to perform automatic image alignment in a common tonal and spatial reference can trigger a wide range of higher level image processing tasks such as panoramic image construction, scene depth computation, resolution enhancement, motion detection and tracking using non stationary camera. In this work we propose a fully automated real time on-line mosaicing algorithm able to build high quality seam-free panoramic images. Moreover, the whole approach does not exploit any a priori information regarding scene geometry, acquisition device properties or feedback signals, thus resulting in a fully image based solution. Extensive experiments have been accomplished to assess the quality of the attained mosaics by using them as the background to perform motion detection and tracking with a Pan Tilt Zoom camera.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Zitova, B., Flusser, J.: Image registration methods: a survey. International Journal of Image and Vision Computing 21(11), 977–1000 (2003)
Candocia, F.M.: Jointly registering images in domain and range by piecewise linear comparametric analysis. IEEE Transactions on Image Processing 12(4) (2003)
Winkelman, F., Patras, I.: Online globally consistent mosaicing using an efficient representation. In: Proceedings of the IEEE International Conference on Multimedia Computing and Systems, October 2004, pp. 3116–3121. IEEE Computer Society Press, Los Alamitos (2004)
Sawnhey, H.S., Kumar, R.: True multi-image alignment and its applications to mosaicing and lens distortion correction. IEEE Transactions on Pattern Analysis and Machine Intelligence 21(3), 235–243 (1999)
Bevilacqua, A., Di Stefano, L., Azzari, P.: An effective real-time mosaicing algorithm apt to detect motion through background subtraction using a ptz camera. In: Proceedings of IEEE Conference on Advanced Video and Signal based Surveillance, vol. 1, pp. 511–516. IEEE Computer Society Press, Los Alamitos (2005)
Zhu, Z., Xu, G., Riseman, E.M., Hanson, A.R.: Fast generation of dynamic and multi-resolution 360° panorama from video sequences. In: Proceedings of the IEEE International Conference on Multimedia Computing and Systems, July 1999, pp. 400–406. IEEE Computer Society Press, Los Alamitos (1999)
Brown, M., Lowe, D.: Recognising panoramas. In: ICCV 2003. Proceedings of the International Conference on Computer Vision, pp. 1218–1225 (2003)
Azzari, P., Bevilacqua, A.: Joint spatial and tonal mosaic alignment for motion detection with ptz camera. In: Campilho, A., Kamel, M. (eds.) ICIAR 2006. LNCS, vol. 4142, Springer, Heidelberg (2006)
Capel, D.P.: Image Mosaicing and Super-Resolution. University of Oxford, Oxford (2001)
Eden, A., Uyttendaele, M., Szeliski, R.: Seamless image stitching of scenes with large motions and exposure differences. In: CVPR 2006. Proceedings of the International Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 2498–2505 (2006)
Lowe, D.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Tomasi, C., Shi, J.: Good features to track. In: CVPR 1994. Proceedings of IEEE Computer Vision and Pattern Recognition, pp. 593–600. IEEE Computer Society Press, Los Alamitos (1994)
Zokai, S., Wolberg, G.: Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations. IEEE Transaction on Image Processing 14(10), 1422–1434 (2005)
Burt, P.J., Adelson, E.H.: A multiresolution spline with application to image mosaics. ACM Transactions on Graphics 2, 217–236 (1983)
Kim, J., Pollefeys, M.: Radiometric self-alignment of image sequences. In: CVPR 2004. Proceedings of the International Conference on Computer Vision and pattern Recognition, vol. 2, pp. 645–651 (2004)
Grossberg, M.D., Nayar, S.K.: Determining the camera response function from images. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(11) (2003)
Grundland, M., Dogson, N.A.: Color histogram specification by histogram warping. In: Proceedings of SPIE Color Imaging X: Processing, Hardcopy, and Applications, January 2005, pp. 610–621 (2005)
Bevilacqua, A., Di Stefano, L., Lanza, A.: An efficient motion detection algorithm based on a statistical non parametric noise model. In: ICIP 2004. Proceedings IEEE ICIP, October 2004, pp. 2347–2350. IEEE Computer Society Press, Los Alamitos (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bevilacqua, A., Azzari, P. (2007). A Fast and Reliable Image Mosaicing Technique with Application to Wide Area Motion Detection. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_45
Download citation
DOI: https://doi.org/10.1007/978-3-540-74260-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74258-6
Online ISBN: 978-3-540-74260-9
eBook Packages: Computer ScienceComputer Science (R0)