A Paraperspective Factorization Method for Shape and Motion Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Counting People in Crowds with a Real-Time Network of Simple Image Sensors
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Fault Tolerance in Collaborative Sensor Networks for Target Detection
IEEE Transactions on Computers
Cyclops, image sensing and interpretation in wireless networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Proceedings of the 6th international conference on Information processing in sensor networks
A Survey of Fault Management in Wireless Sensor Networks
Journal of Network and Systems Management
Fault-tolerant target localization in sensor networks
EURASIP Journal on Wireless Communications and Networking
Calibrating distributed camera networks using belief propagation
EURASIP Journal on Applied Signal Processing
Multicamera People Tracking with a Probabilistic Occupancy Map
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Vision and Applications
Fault-tolerant deployment with k-connectivity and partial k-connectivity in sensor networks
Wireless Communications & Mobile Computing
Multi-Camera Networks: Principles and Applications
Multi-Camera Networks: Principles and Applications
Fault Tolerance by Quartile Method in Wireless Sensor and Actor Networks
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
Deploying sensor networks with guaranteed fault tolerance
IEEE/ACM Transactions on Networking (TON)
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Fault management in wireless sensor networks
IEEE Wireless Communications
Video Streaming for Mobile Video Surveillance
IEEE Transactions on Multimedia
Coverage Estimation in Heterogeneous Visual Sensor Networks
DCOSS '12 Proceedings of the 2012 IEEE 8th International Conference on Distributed Computing in Sensor Systems
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Collaboration in visual sensor networks is essential not only to compensate for the limitations of each sensor node but also to tolerate inaccurate information generated by faulty sensors. This article focuses on the design of a collaborative target localization algorithm that is resilient to sensor faults. We first develop a distributed solution to fault-tolerant target localization based on a so-called certainty map. To tolerate potential sensor faults, a voting mechanism is adopted and a threshold value needs to be specified which is the key to the realization of the distributed solution. Analytical study is conducted to derive the lower and upper bounds for the threshold such that the probability of faulty sensors negatively impacts the localization performance is less than a small value. Second, we focus on the detection and correction of one type of sensor faults, error in camera orientation. We construct a generative image model in each camera based on the detected target location to estimate camera's orientation, detect inaccuracies in camera orientations and correct them before they cascade. Based on results obtained from both simulation and real experiments, we show that the proposed method is effective in localization accuracy as well as fault detection and correction performance.