TY - GEN
T1 - Visual-Based Pose Tracking in Weak Light
AU - Zhang, Longzhi
AU - Wu, Dongmei
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Visual tracking is a popular topic in computer vision, which has broad application prospects in military guidance, aerospace, video surveillance and analysis, medical diagnosis, intelligent robotics, human-computer interaction, and etc. Current tracking algorithms perform poorly in specific scenes, such as a target in condition of weak light. Thus, a pose tracking method based on visual information is put forward, to implement real-time visual tracking in weak light. More precisely, in proposed method, target pose parameters are known at the first frame in a given video sequence, additionally, edge features and point features are taken as visual features to improve the realtime of tracking. The experimental results demonstrate that our approach has better real-time performance of tracking in weak light.
AB - Visual tracking is a popular topic in computer vision, which has broad application prospects in military guidance, aerospace, video surveillance and analysis, medical diagnosis, intelligent robotics, human-computer interaction, and etc. Current tracking algorithms perform poorly in specific scenes, such as a target in condition of weak light. Thus, a pose tracking method based on visual information is put forward, to implement real-time visual tracking in weak light. More precisely, in proposed method, target pose parameters are known at the first frame in a given video sequence, additionally, edge features and point features are taken as visual features to improve the realtime of tracking. The experimental results demonstrate that our approach has better real-time performance of tracking in weak light.
KW - pose parameters
KW - real-time tracking
KW - visual feature
KW - visual information
KW - weak light
UR - https://www.scopus.com/pages/publications/85079178657
U2 - 10.1109/CISP-BMEI48845.2019.8965875
DO - 10.1109/CISP-BMEI48845.2019.8965875
M3 - 会议稿件
AN - SCOPUS:85079178657
T3 - Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
BT - Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
A2 - Li, Qingli
A2 - Wang, Lipo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019
Y2 - 19 October 2019 through 21 October 2019
ER -