[HTML][HTML] Infrared small target detection using Homogeneity-weighted local patch saliency

F Chen, C Bian, X Meng - Infrared Physics & Technology, 2023 - Elsevier
Detecting infrared small targets (IRSTs) submerged in the complex back-grounds with heavy
clutters is a challenging work of great significance in many fields. Inspired by representation …

[HTML][HTML] Detection and tracking of moving targets for thermal infrared video sequences

C Li, W Wang - Sensors, 2018 - mdpi.com
The joint detection and tracking of multiple targets from raw thermal infrared (TIR) image
observations plays a significant role in the video surveillance field, and it has extensive …

Optimized vessel detection in marine environment using hybrid adaptive cuckoo search algorithm

J Sasikala, DS Juliet - Computers & Electrical Engineering, 2019 - Elsevier
Detection of vessels in a marine environment is a challenging task due to the complexity of
identifying small objects, necessitating a detection algorithm to discriminate between …

Using multi-scale infrared optical flow-based crowd motion estimation for autonomous monitoring UAV

Y Shao, Y Mei, H Chu, Z Chang, Q **g… - 2018 Chinese …, 2018 - ieeexplore.ieee.org
Crowd motion estimation is an important part of detection and analysis of abnormal behavior
of the crowd. Crowd motion Analysis in special places is a necessary for maintaining the …

Multi-model fusion of encoding methods-based visual words for target recognition in infrared images

B Nebili, A Khellal, A Nemra, L Mascarilla - Unmanned Systems, 2023 - World Scientific
The limited information contained in infrared images present a serious problem, therefore it
is necessary to form a powerful feature descriptor that allows extracting the maximum …

Histogram encoding of sift based visual words for target recognition in infrared images

B Nebili, A Khellal, A Nemra - 2021 International Conference …, 2021 - ieeexplore.ieee.org
Several algorithms for target recognition in infrared images were proposed by reasearchers
to develop an efficient advanced driver assistance systems. In this paper, an approach …

Pedestrian detection-a survey

C Victoria Priscilla, SP Agnes Sheila - … , Turkey, October 30-31, 2019 1, 2020 - Springer
Pedestrian detection is one of the important fields of computer vision. Computer vision is
getting more information from the digital images and videos and distinguishes between …

[PDF][PDF] Radial greed algorithm with rectified chromaticity for anchorless region proposal applied in aerial surveillance

ALP De Ocampo, E Dadios - International Journal of …, 2019 - pdfs.semanticscholar.org
Human detection is one of the core subjects in machine vision applications, such as
surveillance and monitoring systems. In applications where the video or images are …

Remote pedestrians detection at night time in FIR Image using contrast filtering and locally projected region based CNN

T Kim, S Kim - Infrared Technology and Applications XLIII, 2017 - spiedigitallibrary.org
This paper presents a novel method to detect the remote pedestrians. After producing the
human temperature based brightness enhancement image using the temperature data …

A Local Fuzziness-based Active Contour Model for Infrared Human Segmentation.

Y Tan - Acta Microscopica, 2019 - search.ebscohost.com
Due to the poor quality of thermal infrared imagery and the great variation of human
subjects, segmentation of human subjects is difficult in the thermal infrared images acquired …