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.
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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
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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
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