Title
An Extended Filtered Channel Framework for Pedestrian Detection.
Abstract
Pedestrian detection is an important example of object detection and has attracted much attention. Many works have shown that good image features provide high detection accuracy, and a few works have investigated enhancing low-level features (e.g., gradient and color features) using a filtered layer (i.e., convolutional layer) to obtain enhanced features or filtered channel features. To investigat...
Year
DOI
Venue
2018
10.1109/TITS.2018.2807199
IEEE Transactions on Intelligent Transportation Systems
Keywords
Field
DocType
Feature extraction,Nonhomogeneous media,Deformable models,Convolution,Image color analysis,Kernel,Semantics
Computer vision,Object detection,Histogram,Color space,Feature (computer vision),Communication channel,Chrominance,Feature extraction,Artificial intelligence,Engineering,Pedestrian detection
Journal
Volume
Issue
ISSN
19
5
1524-9050
Citations 
PageRank 
References 
1
0.34
0
Authors
4
Name
Order
Citations
PageRank
Mingyu You116016.22
Yubin Zhang210.34
Chunhua Shen34817234.19
Xinyu Zhang411.02