Target Registration Based on Fusing Features of Visible and Two Wave Bands Infrared Images

2021 ◽  
pp. 465-483
Author(s):  
Junhua Yan ◽  
Kai Su ◽  
Xuyang Cai ◽  
Tianxia Xie ◽  
Yin Zhang ◽  
...  
Keyword(s):  
Infrared Images

Time-to-go estimation from infrared images

1992 ◽  
Vol 139 (3) ◽  
pp. 356
Author(s):  
K.C. Markham
Keyword(s):  
Infrared Images

Integrated Approach for Sclera Recognition and Eye Gaze Detection

2018 ◽  
Vol 6 (7) ◽  
pp. 77
Author(s):  
Snehal S. Rajole ◽  
J. V. Shinde
Keyword(s):  
Near Infrared ◽  
Eye Gaze ◽  
Integrated Approach ◽  
Error Rates ◽  
Infrared Images ◽  
Scaling Method ◽  
Extensive Simulation ◽  
Sclera Recognition ◽  
Gaze Detection ◽  
Biometric Trait

In this paper we proposed unique technique which is adaptive to noisy images for eye gaze detection as processing noisy sclera images captured at-a-distance and on-the-move has not been extensively investigated. Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing part of the eye with a normal camera using visible-wavelength images rather than near infrared images has provoked research interest. This technique involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the move. The proposed system is tested and results are generated by extensive simulation in java.

Symbolic Representation Based Approach for Object Identification in Infrared Images

2017 ◽  
Vol 9 (3) ◽  
pp. 235-240
Author(s):  
Shimoga N. B. Bhushan ◽  
. Harisha ◽  
Arti Pawar ◽  
. Vidyalakshmi
Keyword(s):  
Symbolic Representation ◽  
Object Identification ◽  
Infrared Images

Deep Near-Infrared Images and ISOCAM Observations of Chamaeleon I North

1999 ◽  
Vol 117 (1) ◽  
pp. 439-445 ◽  
Author(s):  
P. Persi ◽  
A. R. Marenzi ◽  
A. A. Kaas ◽  
G. Olofsson ◽  
L. Nordh ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Images

scholarly journals PCANet Based Digital Recognition for Electrical Equipment Infrared Images

2018 ◽  
Vol 1098 ◽  
pp. 012033
Author(s):  
Ying Lin ◽  
Jiafeng Qin ◽  
Weiwei Zhang ◽  
Hao Zhang ◽  
Demeng Bai ◽  
...  
Keyword(s):  
Electrical Equipment ◽  
Infrared Images

Intrusion detection of railway clearance from infrared images using generative adversarial networks

2020 ◽  
pp. 1-13
Author(s):  
Yundong Li ◽  
Yi Liu ◽  
Han Dong ◽  
Wei Hu ◽  
Chen Lin
Keyword(s):  
Intrusion Detection ◽  
Synthetic Data ◽  
Generative Adversarial Networks ◽  
Generation Model ◽  
Single Shot ◽  
Data Generation ◽  
Infrared Images ◽  
Adversarial Networks ◽  
Training Samples ◽  
Rgb Images

The intrusion detection of railway clearance is crucial for avoiding railway accidents caused by the invasion of abnormal objects, such as pedestrians, falling rocks, and animals. However, detecting intrusions using deep learning methods from infrared images captured at night remains a challenging task because of the lack of sufficient training samples. To address this issue, a transfer strategy that migrates daytime RGB images to the nighttime style of infrared images is proposed in this study. The proposed method consists of two stages. In the first stage, a data generation model is trained on the basis of generative adversarial networks using RGB images and a small number of infrared images, and then, synthetic samples are generated using a well-trained model. In the second stage, a single shot multibox detector (SSD) model is trained using synthetic data and utilized to detect abnormal objects from infrared images at nighttime. To validate the effectiveness of the proposed method, two groups of experiments, namely, railway and non-railway scenes, are conducted. Experimental results demonstrate the effectiveness of the proposed method, and an improvement of 17.8% is achieved for object detection at nighttime.

Micro-scanning system using flat optics for resolution improvement of infrared images

Optik ◽  
2013 ◽  
Vol 124 (16) ◽  
pp. 2292-2297 ◽  
Author(s):  
Xiubao Sui ◽  
Qian Chen ◽  
Guohua Gu
Keyword(s):  
Scanning System ◽  
Infrared Images ◽  
Resolution Improvement

Multi-window visual saliency extraction for fusion of visible and infrared images

2016 ◽  
Vol 76 ◽  
pp. 295-302 ◽  
Author(s):  
Jufeng Zhao ◽  
Xiumin Gao ◽  
Yueting Chen ◽  
Huajun Feng ◽  
Daodang Wang
Keyword(s):  
Visual Saliency ◽  
Infrared Images
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