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 - 2017/2/16
Y1 - 2017/2/16
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 (AP) of 0.81/0.72 for AFW/BTSD datasets) detection. Employing 10 gradient/color channels, integral features are extracted and 2,000 simple classifiers for rigid boosted templates are adaptively combined to make a strong classification. The prototype chip implemented in 65nm CMOS demonstrates 16-40 frames per second and 22-160 mW power at 0.6-1.0V 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 (AP) of 0.81/0.72 for AFW/BTSD datasets) detection. Employing 10 gradient/color channels, integral features are extracted and 2,000 simple classifiers for rigid boosted templates are adaptively combined to make a strong classification. The prototype chip implemented in 65nm CMOS demonstrates 16-40 frames per second and 22-160 mW power at 0.6-1.0V supply.
UR - http://www.scopus.com/inward/record.url?scp=85015343559&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015343559&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2017.7858282
DO - 10.1109/ASPDAC.2017.7858282
M3 - Conference contribution
AN - SCOPUS:85015343559
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
SP - 21
EP - 22
BT - 2017 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd Asia and South Pacific Design Automation Conference, ASP-DAC 2017
Y2 - 16 January 2017 through 19 January 2017
ER -