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  • 标题:A NEW APPROACH TO REPRESENT ROTATED HAAR-LIKE FEATURES FOR OBJECTS DETECTION
  • 本地全文:下载
  • 作者:MOHAMED OUALLA ; ABDELALIM SADIQ ; SAMIR MBARKI
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2015
  • 卷号:78
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:In this paper, we propose a new approach to detect rotated object at distinct angles using the Viola-Jones detector. Our method is based on two main steps: in the first step, we determine the rotated Haar-like feature by any angle (45�, 26.5�, 63.5� and others), this allowed us to obtain a very large number of Haar-like features for use them during the boosting stage. The normal Integral Image is very easy to be calculated, but for rotated Haar-like feature, their computation is practically very hard. For this reason, in second step, we propose a function to calculate an approximate value of rotated Integral Image at a generic angle. To concretize our method, we test our algorithm on two databases (Umist and CMU-PIE), containing a set of faces attributed to many variations in scale, location, orientation (in-plane rotation), pose (out-of-plane rotation), facial expression, lighting conditions, occlusions, etc.
  • 关键词:Haar-Like Feature; Integral Image; Object Detection; Face Detection; Viola & Jones Algorithm.
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