Abstract
In this paper a novel application of Active Appearance Models to detecting knives in images is presented. Contrary to popular applications of this computer vision algorithm such as face segmentation or medical image analysis, we use it not only to locate an instance of an object that is known to exist in the analysed image. Using an interest point typical to knives we try to answer the question, whether a knife is or is non-existent in the image in question. We propose an entire detection scheme and examine its performance on a sample test set. The work presented in this paper aims at creating a robust visual knife detector that will find application in computerised monitoring of the public using CCTV.
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Kmieć, M., Głowacz, A., Dziech, A. (2012). Towards Robust Visual Knife Detection in Images: Active Appearance Models Initialised with Shape-Specific Interest Points. In: Dziech, A., Czyżewski, A. (eds) Multimedia Communications, Services and Security. MCSS 2012. Communications in Computer and Information Science, vol 287. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30721-8_15
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DOI: https://doi.org/10.1007/978-3-642-30721-8_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30720-1
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