Outdoor Webcams as Geospatial Sensor Networks: Challenges, Issues and Opportunities

Study of the proliferation of spatially referenced webcams and their attendant infrastructure, technology, and societal implications lies at the convergence of numerous geographical sub-disciplines. These now ubiquitous devices, accessible via the Internet, have new geographical and cartographic uses that are only now being discovered. In this paper, we discuss the issues, challenges, and opportunities surrounding monitoring with spatially referenced outdoor webcams, including digital repeat photography, lateral surveillance, webcam visualization, and analysis. A common theme throughout is spatial and temporal coverage and the power of imagery archives. Comprehensive image databases and flexible interfaces are highly desirable for environmental analysis, public safety, and study of human movement but become contentious when recast in the context of personal surveillance, with webcams viewable by anyone with an internet connection. While there are many opportunities for new scientific and practical uses of webcams as geospatial sensors, their widespread use will require a better understanding of geoprivacy and perhaps a new philosophy toward legal regulation.

[1]  Deborah Estrin,et al.  Public Internet‐connected cameras used as a cross‐continental ground‐based plant phenology monitoring system , 2010 .

[2]  Robert Pless,et al.  Participatory integration of live webcams into GIS , 2010, COM.Geo '10.

[3]  Alexei A. Efros,et al.  What Do the Sun and the Sky Tell Us About the Camera? , 2010, International Journal of Computer Vision.

[4]  Robert Pless,et al.  The global network of outdoor webcams: properties and applications , 2009, GIS.

[5]  Andrew D Richardson,et al.  Near-surface remote sensing of spatial and temporal variation in canopy phenology. , 2009, Ecological applications : a publication of the Ecological Society of America.

[6]  Alan F. Smeaton,et al.  Robust pedestrian detection and tracking in crowded scenes , 2009, Image Vis. Comput..

[7]  Robert Pless,et al.  Adventures in archiving and using three years of webcam images , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[8]  Bei Hua,et al.  Statistical methods to estimate vehicle count using traffic cameras , 2009, Multidimens. Syst. Signal Process..

[9]  J. Abatzoglou,et al.  Tracking the rhythm of the seasons in the face of global change: phenological research in the 21st century. , 2009 .

[10]  David J. Crandall,et al.  Mapping the world's photos , 2009, WWW '09.

[11]  Bernard Panneton,et al.  Colour representation methods for segmentation of vegetation in photographs , 2009 .

[12]  William J. Kaiser,et al.  Budburst and leaf area expansion measured with a novel mobile camera system and simple color thresholding , 2009 .

[13]  Daniel Heesch,et al.  A survey of browsing models for content based image retrieval , 2008, Multimedia Tools and Applications.

[14]  Troels Degn Johansson,et al.  The Live Outdoor Webcams and the Construction of Virtual Geography , 2008 .

[15]  Robert Pless,et al.  Transactions on Circuits and Systems for Video Technology 1 Time Scales in Video Surveillance , 2022 .

[16]  Matthieu Molinier,et al.  Web Cameras in Automatic Autumn Colour Monitoring , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[17]  Alexei A. Efros,et al.  IM2GPS: estimating geographic information from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[18]  Jörg Bendix,et al.  Seasonality and diurnal pattern of very low clouds in a deeply incised valley of the eastern tropical Andes (South Ecuador) as observed by a cost‐effective WebCam system , 2008 .

[19]  C. Lintott,et al.  Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey , 2008, 0804.4483.

[20]  B. Vogel,et al.  Determination of the visibility using a digital panorama camera , 2008 .

[21]  Daren C. Brabham Crowdsourcing as a Model for Problem Solving , 2008 .

[22]  Robert Pless,et al.  Toward Fully Automatic Geo-Location and Geo-Orientation of Static Outdoor Cameras , 2008, 2008 IEEE Workshop on Applications of Computer Vision.

[23]  Zhihai He,et al.  A new 'view' of ecology and conservation through animal-borne video systems. , 2007, Trends in ecology & evolution.

[24]  M. Goodchild Citizens as sensors: the world of volunteered geography , 2007 .

[25]  D. Lyon Surveillance Studies: An Overview , 2007 .

[26]  Menno-Jan Kraak,et al.  Designing a visual environment for exploration of time series of remote sensing data: In search for convective clouds , 2007, Comput. Graph..

[27]  D. J. Anderson,et al.  Web-based and ‘real-time’ beach management system , 2007 .

[28]  Robert Pless,et al.  Consistent Temporal Variations in Many Outdoor Scenes , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[29]  D. Fagre,et al.  Development of a Spatial Analysis Method Using Ground-Based Repeat Photography to Detect Changes in the Alpine Treeline Ecotone, Glacier National Park, Montana, U.S.A , 2007 .

[30]  D. Hollinger,et al.  Use of digital webcam images to track spring green-up in a deciduous broadleaf forest , 2007, Oecologia.

[31]  Arlyne Johnson,et al.  Effects of human–carnivore conflict on tiger (Panthera tigris) and prey populations in Lao PDR , 2006 .

[32]  Jean-Philippe Tarel,et al.  Automatic fog detection and estimation of visibility distance through use of an onboard camera , 2006, Machine Vision and Applications.

[33]  Steve H. L. Liang,et al.  A distributed geospatial infrastructure for Sensor Web , 2005, Comput. Geosci..

[34]  Barbara P. Buttenfield,et al.  Spying With Maps: Surveillance Technologies and the Future of Privacy , 2003 .

[35]  Birger Ulf Hansen,et al.  Automatic snow cover monitoring at high temporal and spatial resolution, using images taken by a standard digital camera , 2002 .

[36]  David Butler,et al.  ENVIRONMENTAL CHANGE IN GLACIER NATIONAL PARK, MONTANA: AN ASSESSMENT THROUGH REPEAT PHOTOGRAPHY FROM FIRE LOOKOUTS , 2001 .

[37]  Thomas B. Moeslund,et al.  A Survey of Computer Vision-Based Human Motion Capture , 2001, Comput. Vis. Image Underst..

[38]  L. Dill,et al.  Employing Crittercam to study habitat use and behavior of large sharks , 2001 .

[39]  Hille Koskela,et al.  ‘The gaze without eyes’: video-surveillance and the changing nature of urban space , 2000 .

[40]  Mark Monmonier,et al.  Webcams, Interactive Index Maps, and Our Brave New World’s Brave New Globe , 2000 .

[41]  Paola Mello,et al.  Image analysis and rule-based reasoning for a traffic monitoring system , 1999, Proceedings 199 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (Cat. No.99TH8383).

[42]  D. Butler Repeat Photography as a Tool for Emphasizing Movement in Physical Geography , 1994 .

[43]  David P. Anderson,et al.  Crowdsourcing for science : understanding and enhancing SciSourcing contribution , 2010 .

[44]  D. Roberts,et al.  Design of an image analysis website for phenological and meteorological monitoring , 2010, Environ. Model. Softw..

[45]  Carla Scherr You Better Watch Out, You Better Not Frown, New Video Surveillance Techniques are Already in Town (and Other Public Spaces) , 2007 .

[46]  Ying Liu,et al.  A survey of content-based image retrieval with high-level semantics , 2007, Pattern Recognit..

[47]  Shree K. Nayar,et al.  Vision and Rain , 2007, International Journal of Computer Vision.

[48]  Mathias Kölsch,et al.  Flocks of Features for Tracking Articulated Objects , 2005 .

[49]  Yael Pritch,et al.  This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2008 1 Non-Chronological Video , 2022 .

[50]  Greg Mori,et al.  Machine Vision and Applications Manuscript No. Bearcam: Automated Wildlife Monitoring at the Arctic Circle , 2022 .