Pedestrian detection and tracking from low-resolution unmanned aerial vehicle thermal imagery
Y Ma, X Wu, G Yu, Y Xu, Y Wang - Sensors, 2016 - mdpi.com
Driven by the prominent thermal signature of humans and following the growing availability
of unmanned aerial vehicles (UAVs), more and more research efforts have been focusing on …
of unmanned aerial vehicles (UAVs), more and more research efforts have been focusing on …
Aerial vehicle tracking by adaptive fusion of hyperspectral likelihood maps
B Uzkent, A Rangnekar… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Hyperspectral cameras provide unique spectral signatures that can be used to solve
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …
surveillance tasks. This paper proposes a novel real-time hyperspectral likelihood maps …
Real-time vehicle tracking in aerial video using hyperspectral features
Vehicle tracking from a moving aerial platform poses a number of unique challenges
including the small number of pixels representing a vehicle, large camera motion, and …
including the small number of pixels representing a vehicle, large camera motion, and …
Automatic vehicle trajectory extraction by aerial remote sensing
CL Azevedo, JL Cardoso, M Ben-Akiva… - Procedia-Social and …, 2014 - Elsevier
Research in road users' behaviour typically depends on detailed observational data
availability, particularly if the interest is in driving behaviour modelling. Among this type of …
availability, particularly if the interest is in driving behaviour modelling. Among this type of …
Neural style transfer combined with EfficientDet for thermal surveillance
Hindrance caused while performing object detection during border or perimeter surveillance
at night due to low resolution and atmospheric noise inside infrared frames, demands for a …
at night due to low resolution and atmospheric noise inside infrared frames, demands for a …
Two algorithms for the detection and tracking of moving vehicle targets in aerial infrared image sequences
Y Cao, G Wang, D Yan, Z Zhao - Remote Sensing, 2015 - mdpi.com
In this paper, by analyzing the characteristics of infrared moving targets, a Symmetric Frame
Differencing Target Detection algorithm based on local clustering segmentation is proposed …
Differencing Target Detection algorithm based on local clustering segmentation is proposed …
Moving object detection for vehicle tracking in wide area motion imagery using 4d filtering
K Palaniappan, M Poostchi… - 2016 23rd …, 2016 - ieeexplore.ieee.org
Most Wide Area Motion Imagery (WAMI) based trackers use motion based cueing for
detecting and tracking moving objects. The results are very high false alarm rates in urban …
detecting and tracking moving objects. The results are very high false alarm rates in urban …
A Review of Non-Linear Kalman Filtering for Target Tracking
Abstract Target Tracking (TT) with Non-Linear (NL) Kalman Filtering (NLKF) has recently
become a hot research hotspot, particularly in the field of Marine Engineering and air traffic …
become a hot research hotspot, particularly in the field of Marine Engineering and air traffic …
Multi-object tracking by flying cameras based on a forward-backward interaction
The automatic analysis of images acquired by cameras mounted on board of drones (flying
cameras) is attracting many scientists working in the field of computer vision; the interest is …
cameras) is attracting many scientists working in the field of computer vision; the interest is …
[HTML][HTML] 背景差分与帧间差分相融合的遥感卫星视频运动车辆检测方法
袁益琴, 何国金, 王桂周, 江威, 康金忠 - 2018 - html.rhhz.net
遥感视频卫星的出现为实时连续对地观测提供了新的契机, 为遥感动态监测与目标跟踪提供了新
数据源. 在分析遥感卫星视频目标检测与传统监控视频目标检测的差异的基础上 …
数据源. 在分析遥感卫星视频目标检测与传统监控视频目标检测的差异的基础上 …