JOURNAL ARTICLE
Deep Convolutional Neural Networks for pedestrian detection
Denis TomèFederico MontiLuca BaroffioLuca BondiMarco TagliasacchiStefano Tubaro
Year: 2016 Journal: Signal Processing Image Communication Vol: 47 Pages: 482-489 Publisher: Elsevier BV
Keywords:
Pedestrian detection Computer science Artificial intelligence Convolutional neural network Object detection Deep learning Pipeline (software) Segmentation Machine learning Task (project management) Pedestrian Robotics Margin (machine learning) Computer vision Pattern recognition (psychology) Robot Engineering
Metrics
220
Cited By
15.72
FWCI (Field Weighted Citation Impact)
37
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Advanced Neural Network Applications
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Video Surveillance and Tracking Methods
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Autonomous Vehicle Technology and Safety
Physical Sciences → Engineering → Automotive Engineering
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