Multiple view geometry in computer vision
Multiple view geometry in computer vision
Complete Calibration of a Multi-camera Network
OMNIVIS '00 Proceedings of the IEEE Workshop on Omnidirectional Vision
Channel allocation for GPRS with buffering mechanisms
Wireless Networks
Ubiquitous Tracking for Augmented Reality
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
Distributed localization of networked cameras
Proceedings of the 5th international conference on Information processing in sensor networks
Architectures for distributed smart cameras
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Object tracking in the presence of occlusions via a camera network
Proceedings of the 6th international conference on Information processing in sensor networks
Resource-aware architectures for adaptive particle filter based visual target tracking
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Hi-index | 0.00 |
Smart camera networks provide the opportunity to detect, classify, and trace visual events by means of a wireless network of embedded computing devices equipped with camera sensors. Previous research in this area has largely focused on custom hardware solutions. In contrast, we propose to use mobile phones as a portable and low-cost platform to implement smart camera networks. Due to mass production, the price of mobile phones is constantly dropping while additional functionality is being added. In particular, the addition of cameras and ad hoc networking enable the use of mobile phones for smart camera networks. Also, software developed for mobile phones is highly portable due to standardized programming environments and APIs. In this paper, we present Facet, a self-organizing network of smart cameras and its software architecture, which addresses the specific challenges of the mobile phone platform. An initial prototype of Facet has been developed and is used to obtain first performance results in an office setting.