Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
An FPGA Co-processor for Real-Time Visual Tracking
FPL '02 Proceedings of the Reconfigurable Computing Is Going Mainstream, 12th International Conference on Field-Programmable Logic and Applications
Edgecomputing: extending enterprise applications to the edge of the internet
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A Web Service for Embedded Distributed Computation
PDP '05 Proceedings of the 13th Euromicro Conference on Parallel, Distributed and Network-Based Processing
Embedded Systems Integration Using Web Services
ICNICONSMCL '06 Proceedings of the International Conference on Networking, International Conference on Systems and International Conference on Mobile Communications and Learning Technologies
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Practical fpga programming in c
Practical fpga programming in c
Real-Time Video Surveillance over IEEE 802.11 Mesh Networks
RTAS '09 Proceedings of the 2009 15th IEEE Symposium on Real-Time and Embedded Technology and Applications
Multi-Camera Networks: Principles and Applications
Multi-Camera Networks: Principles and Applications
Designing mathematical morphology algorithms on FPGAs: an application to image processing
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
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This paper presents a reconfigurable hardware platform for general-purpose video processing. The proposed design is a step towards portable, web-enabled devices which, unlike most existing smart cameras, are to a large degree autonomous and have substantial intelligence embedded. The device is based on programmable logic, microcontrollers, and dedicated communication modules. It is able to acquire an input frame using a built-in camera, process the image in a massively parallel manner, and expose its functionality as a web service compliant with the Service Oriented Architecture (SOA) paradigm. Thanks to the FPGA technology used for main functionality implementation, the system's hardware can be locally or remotely reconfigured in order to optimize it on a very low level for user-defined tasks. Moreover, the image processing core is implemented using a C-to-HDL compiler to reduce time to market when deploying new functionalities. We demonstrate the capabilities of our device on two example applications: moving object detection and face recognition.