Abstract
A common approach to pattern recognition and object detection is to use a statistical classifier. Widely used method is AdaBoost or its modifications which yields outstanding results in certain tasks like face detection. The aim of this work was to build real-time system for detection of dogs for surveillance purposes. The author of this paper thus explored the possibility that the AdaBoost based classifiers could be used for this task.
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Juránek, R. (2009). Detection of Dogs in Video Using Statistical Classifiers. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2008. Lecture Notes in Computer Science, vol 5337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02345-3_25
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DOI: https://doi.org/10.1007/978-3-642-02345-3_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02344-6
Online ISBN: 978-3-642-02345-3
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