TY - GEN
T1 - A real-time 17-scale object detection accelerator with adaptive 2000-stage classification in 65nm CMOS
AU - Kim, Minkyu
AU - Mohanty, Abinash
AU - Kadetotad, Deepak
AU - Suda, Naveen
AU - Wei, Luning
AU - Saseendran, Pooja
AU - He, Xiaofei
AU - Cao, Yu
AU - Seo, Jae-sun
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/25
Y1 - 2017/9/25
N2 - This paper presents an object detection accelerator that features many-scale (17), many-object (up to 50), multi-class (e.g., face, traffic sign), and high accuracy (average precision of 0.79/0.65 for AFW/BTSD datasets). Employing 10 gradient/color channels, integral features are extracted, and the results of 2,000 simple classifiers for rigid boosted templates are adaptively combined to make a strong classification. By jointly optimizing the algorithm and the hardware architecture, the prototype chip implemented in 65nm CMOS demonstrates real-time object detection of 13-35 frames per second with low power consumption of 22-160mW at 0.58-1.0V supply.
AB - This paper presents an object detection accelerator that features many-scale (17), many-object (up to 50), multi-class (e.g., face, traffic sign), and high accuracy (average precision of 0.79/0.65 for AFW/BTSD datasets). Employing 10 gradient/color channels, integral features are extracted, and the results of 2,000 simple classifiers for rigid boosted templates are adaptively combined to make a strong classification. By jointly optimizing the algorithm and the hardware architecture, the prototype chip implemented in 65nm CMOS demonstrates real-time object detection of 13-35 frames per second with low power consumption of 22-160mW at 0.58-1.0V supply.
KW - classification
KW - low-power
KW - machine learning
KW - object detection
KW - real-time
KW - special-purpose accelerator
UR - http://www.scopus.com/inward/record.url?scp=85032692087&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032692087&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2017.8050798
DO - 10.1109/ISCAS.2017.8050798
M3 - Conference contribution
AN - SCOPUS:85032692087
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 50th IEEE International Symposium on Circuits and Systems, ISCAS 2017
Y2 - 28 May 2017 through 31 May 2017
ER -