Implementations of a Feature-Based Visual Tracking Algorithm on Two MIMD Machines Mark Bernd
ICPP '97 Proceedings of the international Conference on Parallel Processing
Good Features to Track
SIMD and Mixed-Mode Implementations of a Visual Tracking Algorithm
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
The Erlangen Slot Machine: A Highly Flexible FPGA-Based Reconfigurable Platform
FCCM '05 Proceedings of the 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Reconfiguration in network of embedded systems: Challenges and adaptive tracking case study
Journal of Embedded Computing - Real-Time and Embedded Computing Systems
Best-Shot Selection for Video Face Recognition Using FPGA
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Design Assurance Strategy and Toolset for Partially Reconfigurable FPGA Systems
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
Object tracking on FPGA-based smart cameras using local oriented energy and phase features
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras
A proposed FPGA architecture for mean shift based object tracking with bandwidth constrained sensors
International Journal of Intelligent Systems Technologies and Applications
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This paper presents the design and implementation of a feature tracker on an embedded reconfigurable hardware system. Contrary to other works, the focus here is on the efficient hardware/software partitioning of the feature tracker algorithm, a viable data flow management, as well as an efficient use of memory and processor features. The implementation is done on a Xilinx Spartan 3 evaluation board and the results provided show the superiority of our implementation compared to the other works.