A machine learning method for pedestrian detection
Pedestrian detection has always been a challenging task of computer vision research for many decades. This dissertation presents a system that realizes the pedestrian detection in the surveillance video based on Convolutional Neural Network and video processing. The detection performance is tested o...
Saved in:
Main Author: | Wang, Yi |
---|---|
Other Authors: | Chau Lap Pui |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/75956 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Extreme learning machine (ELM) methods for pedestrian detection
by: Song, Qiaozhi
Published: (2016) -
Pedestrian detection using fast region-based convolutional neural network method
by: Wang, Xiaoxu
Published: (2019) -
Pedestrian detection for self-driving cars
by: Dong, Xin
Published: (2017) -
Pedestrian detection from surveillance camera
by: Lau, Charmaine Rie
Published: (2018) -
Pedestrian detection using faster-RCNN
by: Munshi Harsh Hemangkumar
Published: (2017)