کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6854658 1437592 2018 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Pedestrian detection based on faster R-CNN in nighttime by fusing deep convolutional features of successive images
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Pedestrian detection based on faster R-CNN in nighttime by fusing deep convolutional features of successive images
چکیده انگلیسی
Using Korea advanced institute of science and technology (KAIST) open database, we conducted experiments and observed that the proposed method performed better than the baseline methods at all times (day and night). In addition, through the experiments with national ICT Australia Ltd. (NICTA) open database, we confirm that the proposed method is effective for pedestrian detection at all times. Finally, we present theoretical grounds for the proposed fusion.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 114, 30 December 2018, Pages 15-33
نویسندگان
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