Abstract
This paper proposes an approach for automatic object detection and removal in video sequences based on genetic algorithms (GAs) and spatiotemporal restoration. Given two consecutive frames, first, objects in the current frame are detected and tracked by a GA-based segmentation method. Second, two stages are performed for the restoration of the regions occluded by the detected text regions: temporal and spatial restorations. The performance of object detection is enhanced by the new proposed evolution method based on GAs. The combination of temporal and spatial restoration shows great potential for automatic removal of extracted objects of interest in various kinds of video sequences, and is applicable to many video re-using applications.
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© 2004 Springer-Verlag Berlin Heidelberg
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Kim, E.Y., Jung, K. (2004). Object Detection and Removal Using Genetic Algorithms. In: Zhang, C., W. Guesgen, H., Yeap, WK. (eds) PRICAI 2004: Trends in Artificial Intelligence. PRICAI 2004. Lecture Notes in Computer Science(), vol 3157. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28633-2_44
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DOI: https://doi.org/10.1007/978-3-540-28633-2_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22817-2
Online ISBN: 978-3-540-28633-2
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