کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
531072 869808 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Novel and efficient pedestrian detection using bidirectional PCA
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Novel and efficient pedestrian detection using bidirectional PCA
چکیده انگلیسی

The detection of pedestrian has attracted much research in the past decade due to the essential role it plays in intelligent video surveillance and vehicle vision systems. However, the existing algorithms do not meet the requirement of real applications in terms of detection performance. This paper proposes a new robust algorithm for pedestrian detection based on image reconstruction using bidirectional PCA (BDPCA). Unlike PCA, since it is a straightforward image projection technique, BDPCA preserves the shape structure of objects and is computationally effective. Due to these advantages, BDPCA is a promising tool for object detection and recognition. The algorithm was tested on two datasets, INRIA and PennFudanPed. Our experiment proved that using BDPCA with vertical edge images was the most suitable for pedestrian detection. The comparison between BDPCA, PCA, and histogram of oriented gradient (HOG) based methods demonstrates superior accuracy and robustness of the proposed algorithm to the others.


► This paper proposes a new algorithm for pedestrian detection using Bidirectional PCA (BDPCA).
► A comparison against PCA and HOG-based methods proved the accuracy and robustness of the BDPCA.
► The correct detection rate of BDPCA is higher than those of HOG and PCA with 5% and 52%, respectively.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 46, Issue 8, August 2013, Pages 2220–2227
نویسندگان
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