Abstract
Adaptive systems are being easy to design using reconfiguration facility on Field programmable gate arrays (FPGAs). In this paper, Kernel based Mean shift algorithm is used for tracking a moving object. First it is simulated on Matlab and then implemented on microblaze soft processor based FPGA board. Tracking is observed for two similar objects crossing each other moving with uniform speed in a stored video as well as real time video. Object tracking, when it comes to implement on pure software (SW) in real time becomes difficult task due to certain limitations of SW. This paper shows how the mean shift algorithm is implemented on Xilinx Spartan 6 FPGA board using EDK. Once the complete algorithm is implemented on microblaze soft processor then some of the mathematical functions of algorithm are calculated on hardware to use HW-SW co-designing methodology to enhance the performance of the system.
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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Pandey, M., Borgohain, D., Baruah, G., Ubhi, J.S., Raju, K.S. (2013). Real Time Object Tracking: Simulation and Implementation on FPGA Based Soft Processor. In: Singh, K., Awasthi, A.K. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37949-9_38
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DOI: https://doi.org/10.1007/978-3-642-37949-9_38
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