A fully decentralized multi-sensor system for tracking and surveillance
International Journal of Robotics Research
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Fine-grained network time synchronization using reference broadcasts
ACM SIGOPS Operating Systems Review - OSDI '02: Proceedings of the 5th symposium on Operating systems design and implementation
A low-cost, composite sensor array combining ultrasonic and infrared proximity sensors
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
Distributed particle filters for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets
IEEE Transactions on Pattern Analysis and Machine Intelligence
On target tracking with binary proximity sensors
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Apply geometric duality to energy-efficient non-local phenomenon awareness using sensor networks
IEEE Wireless Communications
Object tracking in the presence of occlusions via a camera network
Proceedings of the 6th international conference on Information processing in sensor networks
Tracking multiple targets using binary proximity sensors
Proceedings of the 6th international conference on Information processing in sensor networks
Data forwarding in extremely low duty-cycle sensor networks with unreliable communication links
Proceedings of the 5th international conference on Embedded networked sensor systems
Consistency-driven data quality management of networked sensor systems
Journal of Parallel and Distributed Computing
Location-Free Object Tracking on Graph Structures
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
Target Counting under Minimal Sensing: Complexity and Approximations
Algorithmic Aspects of Wireless Sensor Networks
Identifying people in camera networks using wearable accelerometers
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Scalable continuous object detection and tracking in sensor networks
Journal of Parallel and Distributed Computing
Distributed energy-efficient target tracking with binary sensor networks
ACM Transactions on Sensor Networks (TOSN)
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part I
Distributed target tracking with directional binary sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Energy efficient cluster-based target tracking strategy
HONET'09 Proceedings of the 6th international conference on High capacity optical networks and enabling technologies
On collaborative tracking of a target group using binary proximity sensors
Journal of Parallel and Distributed Computing
Management of target-tracking sensor networks
International Journal of Sensor Networks
Sensor selection for target tracking in binary sensor networks using particle filter
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Differential forms for target tracking and aggregate queries in distributed networks
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Tasking networked CCTV cameras and mobile phones to identify and localize multiple people
Proceedings of the 12th ACM international conference on Ubiquitous computing
Distributed network control for mobile multi-modal wireless sensor networks
Journal of Parallel and Distributed Computing
Multiple-Target Tracking With Binary Proximity Sensors
ACM Transactions on Sensor Networks (TOSN)
On topology of sensor networks deployed for tracking
WASA'11 Proceedings of the 6th international conference on Wireless algorithms, systems, and applications
International Journal of Ad Hoc and Ubiquitous Computing
Object tracking in the presence of occlusions using multiple cameras: A sensor network approach
ACM Transactions on Sensor Networks (TOSN)
Data assimilation in agent based simulation of smart environment
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
Differential forms for target tracking and aggregate queries in distributed networks
IEEE/ACM Transactions on Networking (TON)
Adaptive group formation in multirobot systems
Advances in Artificial Intelligence
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We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particular, using geometric and probabilistic analysis of an idealized model, we prove that the achievable spatial resolution Δ in localizing a target's trajectory is of the order of 1overρ R, where R is the sensing radius and ρ is the sensor density per unit area. Using an Occam's razor approach, we then design a geometric algorithm for computing an economical (in descriptive complexity) piecewise linear path that approximates the trajectory within this fundamental limit of accuracy. We employ analogies between binary sensing and sampling theory to contend that only a "lowpass" approximation of the trajectory is attainable, and explore the implications of this obervation for estimating the target's velocity.We show through simulation the effectiveness of the geometric algorithm in tracking both the trajectory and the velocity of the target for idealized models. For non-ideal sensors exhibiting sensing errors, the geometric algorithm can yield poor performance. We show that non-idealities can be handled well using a particle filter based approach, and that geometric post-processing of the output of the Particle Filter algorithm yields an economical path description as in the idealized setting. Finally, we report on our lab-scale experiments using motes with acoustic sensors to validate our theoretical and simulation results.