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A Dynamic Reconfigurable Hardware/Software Architecture for Object Tracking in Video Streams
EURASIP Journal on Embedded Systems volume 2006, Article number: 082564 (2006)
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.
Bissacco A, Meltzer J, Ghiasi S, Soatto S, Sarrafzadeh M: Fast visual feature selection and tracking in a hybrid reconfigurable architecture. UCLA, Los Angeles, Calif, USA; 2004.http://www.cs.ucla.edu/~bissacco/hybridfeatrack.html
Bobda C, Majer M, Ahmadinia A, et al.: The erlangen slot machine: a highly flexible fpga-based reconfigurable platform. Proceedings of the 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM '05), April 2005, Napa, Calif, USA 319-320.
Chen J, Silver D, Parashar M: Real time feature extraction and tracking in a computational steering environment. In Proceedings of the High Performance Computing Symposium (HPC '03), March-April 2003, San Diego, Calif, USA. Society for Modeling and Simulation International; 155-160.
Feng X, Perona P: Real time motion detection system and scene segmentation. In Tech. Rep. CIT-CDS-98-004. California Institute of Technology, Pasadena, Calif, USA; 1998.
Ghiasi S, Nahapetian A, Moon HJ, Sarrafzadeh M: Reconfiguration in network of embedded systems: challenges and adaptive tracking case study. Journal of Embedded Computing 2005,1(1):147-166.
Kulaczewski MB, Siegel HJ: Implementations of a feature-based visual tracking algorithm on two MIMD machines. Proceedings of the International Conference on Parallel Processing, August 1997, Bloomington, Ill, USA 422-430.
Kulaczewski MB, Siegel HJ: SIMD and mixed-mode implementations of a visual tracking algorithm. Proceedings of the International Parallel Processing Symposium (IPPS/SPDP '98), March-April 1998, Orlando, Fla, USA 716-720.
Lucas BD, Kanade T: An iterative image registration technique with an application to stereo vision. Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI '81), August 1981, Vancouver, BC, Canada 674-679.
Lysaght P: FPGAs in the decade after the von Neumann century. Friday workshop at Design, Automation and Test European (DATE '06), March 2006, Munich, Germany
Nister D, Naroditsky O, Bergen J: Visual odometry. In Tech. Rep. CN5300. Sarnoff Corporation, Princeton, NJ, USA; 2004.
Shi J, Tomasi C: Good features to track. In Tech. Rep. TR-93-1399. Department of Computer Science, Cornell University, Ithaca, NY, USA; 1993.
Shi J, Tomasi C: Good features to track. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '94), June 1994, Seattle, Wash, USA 593-600.
Tomasi C, Kanade T: Detection and tracking of point features. In Tech. Rep. CMUCS-91-131. Carnegie Mellon University, Pittsburgh, Pa, USA; 1991.
Zinßer T, Gräßl C, Niemann H: Efficient feature tracking for long video sequences. Proceedings of the 26th DAGM Symposium, August-September 2004, Tübingen, Germany 326-333.
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Mühlbauer, F., Bobda, C. A Dynamic Reconfigurable Hardware/Software Architecture for Object Tracking in Video Streams. J Embedded Systems 2006, 082564 (2006). https://doi.org/10.1155/ES/2006/82564
- Data Flow
- Control Structure
- Video Stream
- Tracker Algorithm
- Electronic Circuit