A Study on Faster R-CNN-Based Subway Pedestrian Detection with ACE Enhancement
At present, the problem of pedestrian detection has attracted increasing attention in the field of computer vision. The faster regions with convolutional neural network features (Faster R-CNN) are regarded as one of the most important techniques for studying this problem. However, the detection capa...
Main Authors: | Hongquan Qu, Meihan Wang, Changnian Zhang, Yun Wei |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-11-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/11/12/192 |
Similar Items
-
An Improved Faster R-CNN Pedestrian Detection Algorithm Based on Feature Fusion and Context Analysis
by: Sheping Zhai, et al.
Published: (2020-01-01) -
Automatic Detection of Welding Defects Using Faster R-CNN
by: Sang-jin Oh, et al.
Published: (2020-12-01) -
An Improved Faster R-CNN for Small Object Detection
by: Changqing Cao, et al.
Published: (2019-01-01) -
Defects detection of floor tiles of ancient buildings based on Faster R-CNN
by: Chen Li, et al.
Published: (2021-01-01) -
Developing an Image Manipulation Detection Algorithm Based on Edge Detection and Faster R-CNN
by: Xiaoyan Wei, et al.
Published: (2019-10-01)