Deep neural networks based visual object detection in videos
As a fundamental task in computer vision, object detection is to locate visual objects of pre-defined classes in instance level. Most existing object detection methods are proposed for static images, which usually try to utilize visual information to accurately locate and recognize an object. It is...
Saved in:
Main Author: | Jin, Ruibing |
---|---|
Other Authors: | Lin Guosheng |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/144136 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Randomized visual phrases for object search
by: Jiang, Yuning, et al.
Published: (2013) -
Deep learning for anomaly detection in computational imaging
by: Du, Xinglin
Published: (2022) -
Deep learning for snake pattern detection
by: Ching, Jia Chin
Published: (2020) -
Subject adaptation with deep convolutional neural network for EEG-based motor imagery classification
by: Zhang, Kaishuo
Published: (2020) -
Neural networks based pattern classification system for information extraction on disaster news
by: Li, Qi
Published: (2022)