FPGA Accelerated Pedestrian Detection System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
This paper focuses on developing a Pedestrian Detection System that is accelerated using a Zedboard. A part of the design is implemented on FPGA and the remaining is implemented in Matlab R2015a. Histogram of Oriented Gradients (HOG) has been used for detection purpose and Linear Support Vector Machine (LSVM) has been used for classification. This system gave an accuracy of 93.27%, a True Positive Rate of 92.27% and a False Positive Rate of 4%. Also the system was faster than the software implementation.
Authors and Affiliations
Reema Kalshaonkar, Sonia Kuwelkar
Keywords
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- EP ID EP23949
- DOI http://doi.org/10.22214/ijraset.2017.4243
- Views 267
- Downloads 9
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