An Energy-Efficient Hardware Implementation of HOG-Based Object Detection at 1080HD 60 fps with Multi-Scale Support
A real-time and energy-efficient multi-scale object detector hardware implementation is presented in this paper. Detection is done using Histogram of Oriented Gradients (HOG) features and Support Vector Machine (SVM) classification. Multi-scale detection is essential for robust and practical applica...
Main Authors: | Sze, Vivienne, Suleiman, Amr AbdulZahir |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
Format: | Article |
Language: | en_US |
Published: |
Springer-Verlag
2015
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Online Access: | http://hdl.handle.net/1721.1/100250 https://orcid.org/0000-0003-4841-3990 https://orcid.org/0000-0002-0376-4220 |
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