TY - GEN
T1 - Street object detection / tracking for AI city traffic analysis
AU - Wei, Yi
AU - Song, Nenghui
AU - Ke, Lipeng
AU - Chang, Ming Ching
AU - Lyu, Siwei
N1 - Publisher Copyright: © 2017 IEEE.
PY - 2018/6/26
Y1 - 2018/6/26
N2 - Smart transportation based on big data traffic analysis is an important component of smart city. With millions of ubiquitous street cameras and intelligent analytic algorithms, public transit systems of the next generation can be safer and smarter. We participated the IEEE Smart World 2017 NVIDIA AI City Challenge which consists of two tracks of contests that serve this spirit. In the AI City Track 1 contest on visual detection, we built a competitive street object detector for vehicle and person localization and classification. In the AI City Track 2 contest on transportation applications, we developed a traffic analysis framework based on vehicle tracking that can assist the surveillance and visualization of the traffic flow. Both developed methods demonstrated practical, and competitive performance when evaluated with state-of-Art methods on real-world traffic videos provided in the challenge contest.
AB - Smart transportation based on big data traffic analysis is an important component of smart city. With millions of ubiquitous street cameras and intelligent analytic algorithms, public transit systems of the next generation can be safer and smarter. We participated the IEEE Smart World 2017 NVIDIA AI City Challenge which consists of two tracks of contests that serve this spirit. In the AI City Track 1 contest on visual detection, we built a competitive street object detector for vehicle and person localization and classification. In the AI City Track 2 contest on transportation applications, we developed a traffic analysis framework based on vehicle tracking that can assist the surveillance and visualization of the traffic flow. Both developed methods demonstrated practical, and competitive performance when evaluated with state-of-Art methods on real-world traffic videos provided in the challenge contest.
KW - AI City
KW - multi-object tracking
KW - object detection
KW - smart transportation
KW - traffic analysis
UR - https://www.scopus.com/pages/publications/85050217716
U2 - 10.1109/UIC-ATC.2017.8397669
DO - 10.1109/UIC-ATC.2017.8397669
M3 - Conference contribution
T3 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
SP - 1
EP - 5
BT - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017
Y2 - 4 April 2017 through 8 April 2017
ER -