A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Filters
Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories
[chapter]
2008
Lecture Notes in Computer Science
Preserved Fulltext
Using only shadow trajectories of stationary objects in a scene, we demonstrate that using a set of six or more photographs are sufficient to accurately calibrate the camera. ...
Moreover, we present a novel application where, using only three points from the shadow trajectory of the objects, one can accurately determine the geo-location of the camera, up to a longitude ambiguity ...
The cue that we use for geo-temporal localization of the camera, (defined henceforth as the physical location of the camera (GPS coordinates) and the date of image acquisition) is the shadow trajectories ...
doi:10.1007/978-3-540-88682-2_25
fatcat:724ilptyqjhudgrwq2caa66s7a
GPS coordinate estimation from calibrated cameras
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
We present a novel application where, using only three points from the shadow trajectory of an object, one can accurately determine the geo-location of the camera, up to a longitude ambiguity, and also ...
We demonstrate the accuracy of our geo-temporal localization method using synthetic and real data. ...
The cue that we use for geo-temporal localization of the camera, (defined henceforth as the physical location of the camera (GPS coordinates) and the date of image acquisition) is the shadow trajectories ...
doi:10.1109/icpr.2008.4761559
dblp:conf/icpr/JunejoF08a
fatcat:tz3ldlbesnftjgnd65hj4dy4me
GPS coordinates estimation and camera calibration from solar shadows
2010
Computer Vision and Image Understanding
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we discuss the issue of camera parameter estimation (intrinsic and extrinsic parameters), along with estimation of the geo-location of the camera by using only the shadow trajectories. ...
We demonstrate the accuracy of our technique for both steps of calibration and geo-temporal localization using synthetic and real data. ...
The cue that we use for geo-temporal localization of the camera, (defined henceforth as the physical location of the camera (GPS coordinates) and the date of image acquisition) is the shadow trajectories ...
doi:10.1016/j.cviu.2010.05.003
fatcat:nyn6bblzqjcghidbmgh5capwse
Camera calibration and geo-location estimation from two shadow trajectories
2010
Computer Vision and Image Understanding
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper investigates the property of solar shadow trajectories on a planar surface and shows that camera parameters, latitude, longitude and shadow casting objects' relative height ratios can be estimated ...
The other contribution is that we use the design of an analemmatic sundial to get the shadow conic and furthermore recover the camera's geographical location. ...
Junejo and Foroosh [26] use shadow points from shadow trajectory of objects to determine the geo-location of a camera. ...
doi:10.1016/j.cviu.2010.04.003
fatcat:tokhcytlszdm5mupofajbt5rqy
Map-Enhanced Detection and Tracking from a Moving Platform with Local and Global Data Association
2007
2007 IEEE Workshop on Motion and Video Computing (WMVC'07)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The map information is used as a global constraint for compensating the camera motion, which is critical for motion detection on a moving platform. ...
Moreover, given a global map, such as a satellite image, our approach can locate and track the targets in geo-coordinates, namely longitude and latitude. ...
The concept of background model can be extended to non-stationary cameras by compensating for the camera motion before estimating of the background model. We adopt the sliding window method in [4] . ...
doi:10.1109/wmvc.2007.23
fatcat:ozep4wb7wzefvlwcmhuunlvigu
Structure from shadow motion
2014
2014 IEEE International Conference on Computational Photography (ICCP)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
We demonstrate reconstruction results on a variety of outdoor scenes, including some that show the 3D structure of occluders never directly observed by the camera. ...
Thus, we develop a shadow tracking system that enforces geometric consistency for each track and then combines thousands of tracking results to create a 3D model of scene geometry. ...
Junejo and Foroosh [15] calibrate the intrinsic parameters of a camera and solve for constraints on camera geo-location from the trajectories of shadows of two points moving across a ground plane, and ...
doi:10.1109/iccphot.2014.6831802
dblp:conf/iccp/AbramsSP14
fatcat:w3ynffx3mbfupcywprcyesnfle
Advances in Crowd Analysis for Urban Applications Through Urban Event Detection
2017
IEEE transactions on intelligent transportation systems (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Over the last decade, certain aspects of the crowd, e.g. mobility, sentimental, size estimation and behavioral, have been analyzed in detail and the outcomes have been reported. ...
The urban dynamics unveiled by these means generate an enormous amount of data. ...
ACKNOWLEDGMENT Financial support from the Erasmus Mundus -Action 2 Programme of the European Commission ('SmartLink', contract no. 552077) is kindly acknowledged. ...
doi:10.1109/tits.2017.2771746
fatcat:6obv5e6z4jce7hplfq54ywsh3u
Efficient detection and tracking of moving objects in geo-coordinates
2010
Machine Vision and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We propose to use a two-step geo-registration approach to stitch images acquired by satellite and UAV cameras. ...
Given a global map, such as a satellite image, our approach can locate and track the targets in geo-coordinates, namely longitude and latitude obtained from geo-registration. ...
The coarse initialization is implemented with local appearance matching using normalized correlation. The fine geo-registration is acquired by estimating the projection matrix of camera given DEM. ...
doi:10.1007/s00138-010-0264-1
fatcat:zzbj2gz45zbwbp6j4xsvbisbxm
A ROBUST REGISTRATION ALGORITHM FOR POINT CLOUDS FROM UAV IMAGES FOR CHANGE DETECTION
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The customisation included adding a GPS logger and a Large-Field-Of-View (LFOV) action camera which facilitated capturing high-resolution geo-tagged images in two epochs over the period of one year (i.e ...
Note that due to the coarse accuracy of the on-board GPS receiver (e.g., +/- 5-10 m) the geo-tagged positions of the images were only used as initial values in the bundle block adjustment. ...
The authors are grateful also to Daniel Wujanz (Department of Geodesy and Geoinformation Science, Berlin Institute of Technology) who processed the data using ICProx-algorithm to automatically extract ...
doi:10.5194/isprs-archives-xli-b1-765-2016
fatcat:vrj452x7o5arvfdnrdx7qfx3t4
Activity Analysis, Summarization, and Visualization for Indoor Human Activity Monitoring
2008
IEEE transactions on circuits and systems for video technology (Print)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
At the feature level, we develop an adaptive learning method to estimate the physical location and moving speed of a person from a single camera view without calibration. ...
In this work, we study how continuous video monitoring and intelligent video processing can be used in eldercare to assist the independent living of elders and to improve the efficiency of eldercare practice ...
This is followed by a fast and reliable physical location and moving speed estimation algorithm using single-view camera videos without camera calibration. ...
doi:10.1109/tcsvt.2008.2005612
fatcat:trbhw6wrzbgzrcevboz4mn2gza
Utilizing Semantic Visual Landmarks for Precise Vehicle Navigation
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
, the geo-referenced map building process, and the navigation system using pre-mapped landmarks. ...
of systems comes from the presence of visual landmarks or features from temporal objects in the environment, such as cars and pedestrians. ...
There are a number of methods [6] , [16] that propose to use cameras to construct a geo-referenced map of visual landmarks beforehand. ...
arXiv:1801.00858v1
fatcat:7it7zmjtgndr5hzc7izdk3m4y4
The evolution of video surveillance: an overview
2008
Machine Vision and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Although some of the core problems, such as object recognition and shape estimation are far from solved, many applications have made considerable progress. ...
On the one hand, worldwide the number of cameras is expected to continue to grow exponentially and security budgets for governments, corporations and the private sector are increasing accordingly. ...
Back at DARPA he pioneered the deployment of large multi-modal sensor networks under DARPA's CZTS program. ...
doi:10.1007/s00138-008-0152-0
fatcat:scg4lrjcjnbo3h6xeus4c3lzhq
Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles
2019
Journal of Electronic Imaging (JEI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication ...
If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User ...
Acknowledgments This work has been supported by the "Defence Expertise Centre Counter-IED" (DEC C-IED) of the Netherlands Ministry of Defence and has been founded through the National Technology Program ...
doi:10.1117/1.jei.28.4.043009
fatcat:2aipoigkrbh67jy2jgb7p2nwkq
Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction
2020
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Second, all footage is spatially and temporally registered within this 3D reconstruction. ...
The framework is evaluated using four case studies which demonstrate its broad applicability. ...
Moreover, the trajectories of detected objects or persons could be compared and used for temporal synchronization. ...
doi:10.3390/s20185426
pmid:32971822
pmcid:PMC7570841
fatcat:cwkd5exbovb2hgtqq6dag7yzdy
Simultaneous Localization and Mapping (SLAM) and Data Fusion in Unmanned Aerial Vehicles: Recent Advances and Challenges
2022
Drones
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
SLAM is envisioned as a potential technique for object detection and scene perception to enable UAV navigation through continuous state estimation. ...
This article presents a survey of simultaneous localization and mapping (SLAM) and data fusion techniques for object detection and environmental scene perception in unmanned aerial vehicles (UAVs). ...
Furthermore, in the presence of a shadow in an image, UAVs need to distinguish the distance and size of an object from a corresponding shadow. ...
doi:10.3390/drones6040085
fatcat:abl72hadbze3tgwl3xysbcnpoq
« Previous
Showing results 1 — 15 out of 389 results