کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1784690 1023273 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Robust pedestrian detection in thermal infrared imagery using the wavelet transform
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک اتمی و مولکولی و اپتیک
پیش نمایش صفحه اول مقاله
Robust pedestrian detection in thermal infrared imagery using the wavelet transform
چکیده انگلیسی

A novel and robust pedestrian detection method in thermal infrared images based on the double-density dual-tree complex wavelet transform (DD-DT CWT) and wavelet entropy is presented in this paper. The regions of interest (ROIs) are located first making use of high brightness property of the pedestrian pixels caused by the self-emission of the pedestrians related to the Planck’s law. The candidate ROIs are then decomposed by DD-DT CWT and the wavelet entropy features are extracted from the high frequency subbands. The true pedestrian regions are finally classified and recognized using the support vector machine (SVM) classifier. Comparisons between our approach and traditional approaches are presented and experimental results using several thermal infrared image databases show the proposed scheme to be very promising.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Infrared Physics & Technology - Volume 53, Issue 4, July 2010, Pages 267–273
نویسندگان
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