Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
EigenTracking: Robust Matching and Tracking of Articulated Objects Using a View-Based Representation
International Journal of Computer Vision
Efficient Region Tracking With Parametric Models of Geometry and Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design Issues in Mobile-Agent Programming Systems
IEEE Concurrency
Smart Cameras as Embedded Systems
Computer
Sparse Bayesian Learning for Efficient Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Probabilistic Tracking Embedded in a Smart Camera
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
A Second Generation Low Cost Embedded Color Vision System
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Smart camera design for intensive embedded computing
Real-Time Imaging
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tracking in a Dense Crowd Using Multiple Cameras
International Journal of Computer Vision
Towards self-organising smart camera systems
ARCS'08 Proceedings of the 21st international conference on Architecture of computing systems
A resource-aware distributed event space for pervasive smart camera networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Towards secure and privacy sensitive surveillance
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
AMiDiViN: basic algorithms for alarm management in distributed vision networks
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
An adaptive method for energy-efficiency in battery-powered embedded smart cameras
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
Cooperative object tracking and composite event detection with wireless embedded smart cameras
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Review: on the use of agent technology in intelligent, multisensory and distributed surveillance
The Knowledge Engineering Review
Quorum based image retrieval in large scale visual sensor networks
ADHOC-NOW'12 Proceedings of the 11th international conference on Ad-hoc, Mobile, and Wireless Networks
System-level approach to the design of a smart distributed surveillance system using systemj
ACM Transactions on Embedded Computing Systems (TECS)
Socio-economic vision graph generation and handover in distributed smart camera networks
ACM Transactions on Sensor Networks (TOSN)
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There is currently a strong trend towards the deployment of advanced computer vision methods on embedded systems. This deployment is very challenging since embedded platforms often provide limited resources such as computing performance, memory, and power. In this paper we present a multicamera tracking method on distributed, embedded smart cameras. Smart cameras combine video sensing, processing, and communication on a single embedded device which is equipped with a multiprocessor computation and communication infrastructure. Our multicamera tracking approach focuses on a fully decentralized handover procedure between adjacent cameras. The basic idea is to initiate a single tracking instance in the multicamera system for each object of interest. The tracker follows the supervised object over the camera network, migrating to the camera which observes the object. Thus, no central coordination is required resulting in an autonomous and scalable tracking approach. We have fully implemented this novel multicamera tracking approach on our embedded smart cameras. Tracking is achieved by the well-known CamShift algorithm; the handover procedure is realized using a mobile agent system available on the smart camera network. Our approach has been successfully evaluated on tracking persons at our campus.