Proceedings ArticleDOI
Moving objects detection using a thermal Camera and IMU on a vehicle
Kruno Lenac,Ivan Maurović,Ivan Petrović +2 more
- pp 212-219
TLDR
In this article, a novel algorithm for moving object detection in thermal images taken by a moving thermal camera is presented, which uses fusion of an inertial measurement unit (IMU) and a thermal camera.Abstract:
In this paper we present a novel algorithm for moving object detection in thermal images taken by a moving thermal camera. It allows a detection of moving objects in thermal images of low quality without imposing restrictions on the temperature and/or shape of the object. The main assumption required for good performance of the algorithm is that the transversal movement of the vehicle will not produce significant change in the optical flow of the static objects in the scene between two consecutive image frames. Our algorithm does not use any temperature thresholds and works well in urban environments detecting moving humans and other moving objects as well. To achieve this we use fusion of an inertial measurement unit (IMU) and a thermal camera. First we use IMU data to compensate for rotational movements of the thermal camera between two consecutive thermal images. Then we differentiate those images and filter the resulting image based on dense optical flow calculated using Farneback technique. After that moving objects are detected and further filtering is applied using random sampling consensus algorithm based on optical flow model.read more
Citations
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Journal ArticleDOI
Deep Learning-Based Thermal Image Reconstruction and Object Detection
Ganbayar Batchuluun,Jin Kyu Kang,Dat Tien Nguyen,Tuyen Danh Pham,Muhammad Arsalan,Kang Ryoung Park +5 more
TL;DR: Zhang et al. as mentioned in this paper proposed a deblur-SRRGAN for thermal image reconstruction and a light-weighted Mask R-CNN for object detection in the reconstructed thermal image.
Journal ArticleDOI
Adaptive motion estimation and sequential outline separation based moving object detection in video surveillance system
T. Thenmozhi,A.M. Kalpana +1 more
TL;DR: This work proposes two methodologies like consolidating background subtraction and improved sequential outline separation strategies for the recognition of various moving objects from indoor and outdoor genuine video dataset and demonstrates that the proposed strategies identify the moving targets productively.
Journal ArticleDOI
Remote Management Architecture of UAV Fleets for Maintenance, Surveillance, and Security Tasks in Solar Power Plants
Sergio Bemposta Rosende,Javier Sanchez-Soriano,Carlos Quiterio Gómez Muñoz,Javier Fernández Andrés +3 more
TL;DR: A remote management architecture of an unmanned aerial vehicles (UAVs) fleet to aid in the management of solar power plants and object tracking and the reduction in costs for maintenance, surveillance, and security tasks, especially in large solar farms is presented.
Pedestrian detection for automotive night vision using thermal camera
TL;DR: In this paper, a pedestrian detection for automotive night vision is introduced based on the distance, size and clothing of the pedestrian, and four conditions have been taken into consideration that are with average weight of 40 to 50 kg with wearing hijab and without hijab.
Journal ArticleDOI
Robust Stereo Visual Odometry Based on Probabilistic Decoupling Ego-Motion Estimation and 3D SSC
Yan Wang,Hui-qi Miao,Lei Guo +2 more
TL;DR: A robust stereo visual odometry is presented by decoupled ego-motion estimation based on probabilistic matches and rejecting the outliers of dynamic objects through motion segmentation and the results show that the method is more robust as it can detect outliers more accurately in dynamic environments and achieve higher precision in motion estimation.
References
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Journal ArticleDOI
Background-Subtraction in Thermal Imagery Using Contour Saliency
James W. Davis,Vinay Sharma +1 more
TL;DR: A new contour-based background-subtraction technique to extract foreground objects in widely varying thermal imagery is presented, using manually segmented thermal imagery to demonstrate the robustness of the approach.
Proceedings ArticleDOI
A review of recent developments in vision-based vehicle detection
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