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Published in:
2010 | OriginalPaper | Chapter
A Novel Features Design Method for Cat Head Detection
Author : Hua Bo
Published in: Artificial Intelligence and Computational Intelligence
Publisher: Springer Berlin Heidelberg
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In this paper we have proposed a new novel features model whichdesigned to robustly detect the highly variable cat head patterns.Do not like human, cats usually have distinct different face, pose,appearance and different scales of ears, eyes and mouth. So manysignificant features on human face detection have presented but itis not satisfying to use them on cat head. We have designed a newfeatures model by ideally combining the histogram frame withGLCM-based (gray level co-occurrence matrix) texture features todescribe both the shape information of cat’s head and textureinformation of cat’s eyes, ears and mouth in detail. SVM-basedclassifier achieves the detection results. Extensive experimentalresults illustrating the high detection rate with low false alarm.