Energy-Efficient HOG-based Object Detection at 1080HD 60 fps with Multi-Scale Support

Suleiman, Amr AbdulZahir; Sze, Vivienne

Energy-Efficient HOG-based Object Detection at 1080HD 60 fps with Multi-Scale Support

Name

SIPS_2014___HOG.pdf

Description

In this paper, we present a real-time and energyefficient multi-scale object detector using Histogram of Oriented Gradient (HOG) features and Support Vector Machine (SVM) classification.

Size

721.12 KB

Format

Adobe PDF

Checksum (MD5)

f21cce24ff1f837a493bf09538f69c2f

Author(s)

Suleiman, Amr AbdulZahir

•

Sze, Vivienne

Date Issued

October 2014

Journal

Proceedings of the 2014 IEEE Workshop on Signal Processing Systems (SiPS)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Citation

Suleiman, Amr, and Vivienne Sze. “Energy-Efficient HOG-Based Object Detection at 1080HD 60 Fps with Multi-Scale Support.” IEEE, 2014. 1–6.

Version

Author's final manuscript

Abstract

In this paper, we present a real-time and energy-efficient multi-scale object detector using Histogram of Oriented Gradient (HOG) features and Support Vector Machine (SVM) classification. Parallel detectors with balanced workload are used to enable processing of multiple scales and increase the throughput such that voltage scaling can be applied to reduce energy consumption. Image pre-processing is also introduced to further reduce power and area cost of the image scales generation. This design can operate on high definition 1080HD video at 60 fps in real-time with a clock rate of 270 MHz, and consumes 45.3 mW (0.36 nJ/pixel) based on post-layout simulations. The ASIC has an area of 490 kgates and 0.538 Mbit on-chip memory in a 45nm SOI CMOS process.

MIT Department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Terms of Use

Creative Commons Attribution-Noncommercial-Share Alike

http://creativecommons.org/licenses/by-nc-sa/4.0/

Persistent DSpace Link

http://hdl.handle.net/1721.1/92823

DOI of Published Version

https://doi.org/10.1109/SiPS.2014.6986096