A computer vision sensor for efficient object detection under varying lighting conditions
Convolutional neural networks (CNNs) have attracted much attention in recent years due to their outstanding performance in image classification. However, changes in lighting conditions can corrupt image segmentation conducted by CNN, leading to false object detection. Even though this problem can be...
Saved in:
Main Authors: | Cuhadar, Can, Lau, Genevieve Pui Shan, Tsao, Hoi Nok |
---|---|
Other Authors: | School of Physical and Mathematical Sciences |
Format: | Article |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/159294 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Abdominal palpation characterization using computer vision
by: Rosaldo, Aeysol F.
Published: (2016) -
Vision System for Hand Gesture Recognition (VISOR)
by: Enero, Jerome M., et al.
Published: (2006) -
Automated multi-object tracker with hybrid particle filter and data association from fixed camera view
by: RAPHAEL, ALAMPAY
Published: (2012) -
A binocular vision system for object tracking and distance perception based on optical convergence
by: Ke, Gaston Anthony N., et al.
Published: (2006) -
Vision based artificial intelligence drone localization for swarm drone application
by: Cheng, Junius Zhen Yang
Published: (2024)