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Estimating Geo-temporal Location of Stationary Cameras Using Shadow Trajectories [chapter]

Imran N. Junejo, Hassan Foroosh
2008 Lecture Notes in Computer Science  
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

Imran N. Junejo, Hassan Foroosh
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
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

Imran N. Junejo, Hassan Foroosh
2010 Computer Vision and Image Understanding  
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

Lin Wu, Xiaochun Cao, Hassan Foroosh
2010 Computer Vision and Image Understanding  
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

Qian Yu, Gerard Medioni
2007 2007 IEEE Workshop on Motion and Video Computing (WMVC'07)  
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

Austin Abrams, Ian Schillebeeckx, Robert Pless
2014 2014 IEEE International Conference on Computational Photography (ICCP)  
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

Mohammed Shamim Kaiser, Khin T. Lwin, Mufti Mahmud, Donya Hajializadeh, Tawee Chaipimonplin, Ahmed Sarhan, Mohammed Alamgir Hossain
2017 IEEE transactions on intelligent transportation systems (Print)  
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

Yuping Lin, Qian Yu, Gérard Medioni
2010 Machine Vision and Applications  
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

A. Al-Rawabdeh, H. Al-Gurrani, K. Al-Durgham, I. Detchev, F. He, N. El-Sheimy, A. Habib
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

Zhongna Zhou, Xi Chen, Yu-Chia Chung, Zhihai He, T.X. Han, J.M. Keller
2008 IEEE transactions on circuits and systems for video technology (Print)  
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]

Varun Murali, Han-Pang Chiu, Supun Samarasekera, Rakesh Kumar
2018 arXiv   pre-print
, 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

Niels Haering, Péter L. Venetianer, Alan Lipton
2008 Machine Vision and Applications  
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

Dennis W. J. M. van de Wouw, Frank B. ter Haar, Gijs Dubbelman, Peter H. N. de With
2019 Journal of Electronic Imaging (JEI)  
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

Matthias Kraus, Thomas Pollok, Matthias Miller, Timon Kilian, Tobias Moritz, Daniel Schweitzer, Jürgen Beyerer, Daniel Keim, Chengchao Qu, Wolfgang Jentner
2020 Sensors  
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

Abhishek Gupta, Xavier Fernando
2022 Drones  
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
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