LifeLines: visualizing personal histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Detecting Pedestrians Using Patterns of Motion and Appearance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Interactive Analysis of Event Data Using Space-Time Cube
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
GeoTime Information Visualization
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Baby Names, Visualization, and Social Data Analysis
INFOVIS '05 Proceedings of the Proceedings of the 2005 IEEE Symposium on Information Visualization
Line graph explorer: scalable display of line graphs using Focus+Context
Proceedings of the working conference on Advanced visual interfaces
The Semantic Pathfinder: Using an Authoring Metaphor for Generic Multimedia Indexing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Trajectory-based visual analysis of large financial time series data
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
The MERL motion detector dataset
Proceedings of the 2007 workshop on Massive datasets
PhotoScope: visualizing spatiotemporal coverage of photos for construction management
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual cluster analysis of trajectory data with interactive Kohonen maps
Information Visualization
A visual analysis of spatio-temporal data associated with human movement
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Visual analysis of news streams with article threads
Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques
Wakame: sense making of multi-dimensional spatial-temporal data
Proceedings of the International Conference on Advanced Visual Interfaces
An immersive system for browsing and visualizing surveillance video
Proceedings of the international conference on Multimedia
Evaluating video visualizations of human behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
VizKid: a behavior capture and visualization system of adult-child interaction
HCII'11 Proceedings of the 1st international conference on Human interface and the management of information: interacting with information - Volume Part II
Spalendar: visualizing a group's calendar events over a geographic space on a public display
Proceedings of the International Working Conference on Advanced Visual Interfaces
Visual comparison for information visualization
Information Visualization - Special issue on State of the Field and New Research Directions
Hi-index | 0.00 |
The technology available to building designers now makes it possible to monitor buildings on a very large scale. Video cameras and motion sensors are commonplace in practically every office space, and are slowly making their way into living spaces. The application of such technologies, in particular video cameras, while improving security, also violates privacy. On the other hand, motion sensors, while being privacy-conscious, typically do not provide enough information for a human operator to maintain the same degree of awareness about the space that can be achieved by using video cameras. We propose a novel approach in which we use a large number of simple motion sensors and a small set of video cameras to monitor a large office space. In our system we deployed 215 motion sensors and six video cameras to monitor the 3,000-square-meter office space occupied by 80 people for a period of about one year. The main problem in operating such systems is finding a way to present this highly multidimensional data, which includes both spatial and temporal components, to a human operator to allow browsing and searching recorded data in an efficient and intuitive way. In this paper we present our experiences and the solutions that we have developed in the course of our work on the system. We consider this work to be the first step in helping designers and managers of building systems gain access to information about occupants' behavior in the context of an entire building in a way that is only minimally intrusive to the occupants' privacy.