The nature of statistical learning theory
The nature of statistical learning theory
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Feature Detection with Automatic Scale Selection
International Journal of Computer Vision
Habitat monitoring: application driver for wireless communications technology
SIGCOMM LA '01 Workshop on Data communication in Latin America and the Caribbean
Robust Real-Time Face Detection
International Journal of Computer Vision
Habitat monitoring with sensor networks
Communications of the ACM - Wireless sensor networks
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Proceedings of the 3rd international conference on Embedded networked sensor systems
Cyclops: in situ image sensing and interpretation in wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
SensEye: a multi-tier camera sensor network
Proceedings of the 13th annual ACM international conference on Multimedia
Multiclass Object Recognition with Sparse, Localized Features
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Fidelity and yield in a volcano monitoring sensor network
OSDI '06 Proceedings of the 7th symposium on Operating systems design and implementation
IrisNet: an architecture for internet-scale sensing services
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
RCRT: Rate-controlled reliable transport protocol for wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Traffic modeling and prediction using camera sensor networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Traffic modeling and prediction using sensor networks: Who will go where and when?
ACM Transactions on Sensor Networks (TOSN)
PASU: A personal area situation understanding system using wireless camera sensor networks
Personal and Ubiquitous Computing
Hi-index | 0.00 |
We present a scalable end-to-end system for vision-based monitoring of natural environments, and illustrate its use for the analysis of avian nesting cycles. Our system enables automated analysis of thousands of images, where manual processing would be infeasible. We automate the analysis of raw imaging data using statistics that are tailored to the task of interest. These “features” are a representation to be fed to classifiers that exploit spatial and temporal consistencies. Our testbed can detect the presence or absence of a bird with an accuracy of 82%, count eggs with an accuracy of 84%, and detect the inception of the nesting stage within a day. Our results demonstrate the challenges and potential benefits of using imagers as biological sensors. An exploration of system performance under varying image resolution and frame rate suggest that an in situ adaptive vision system is technically feasible.