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华南理工大学 [6]
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会议 [6]
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A robot teaching method based on motion tracking with particle filter (EI收录)
会议
Wuhan, China,
作者:
Huang, Yanjiang[1,2,3]
;
Xie, Jie[1,2]
;
Zhou, Haopeng[1,2]
;
Zheng, Yanglong[1,2]
;
Zhang, Xianmin[1,2]
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/04/11
Bandpass filters
Computer vision
Distributed computer systems
Monte Carlo methods
Motion analysis
Robotics
Robots
Teaching
Multi-pedestrian tracking for far-infrared pedestrian detection on-board using particle filter (EI收录)
会议
Macau, China,
作者:
Xu, Ruilin[1]
;
Liu, Qiong[1]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/11
Algorithms
Bandpass filters
Clutter (information theory)
Distributed computer systems
Feature extraction
FIR filters
Imaging systems
Iterative methods
Least squares approximations
Monte Carlo methods
Object detection
Signal filtering and prediction
Tracking (position)
Chaotic Signal Extraction in Wireless Sensor Networks with Unknown Statistics (CPCI-S收录)
会议
作者:
Ren, Zi-Liang[1,2]
;
Feng, Jiu-Chao[1]
;
Zhao, Zhi[1]
;
Qin, Yong[2]
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/04/11
quantization
non-linear filter
cost reference particle filter
chaotic signal extraction
Performance prediction of PM 2.5 removal of real fibrous filters with a novel model considering rebound effect (CPCI-S收录)
会议
作者:
Cai, Rong-Rong[1]
;
Zhang, Li-Zhi[1]
;
Yan, Yuying[2]
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/04/11
PM2.5
Filtration performance
Fibrous filter
Particle rebound
Micro-macro modeling
Material property
Research on an improved fuzzy detecting algorithm of harmonic and reactive-power signals for the shunt APF (CPCI-S收录)
会议
作者:
Li Lanfang[1]
;
Ma Hui[2]
;
Xu Xiaogang[1]
;
Xie Yunxiang[2]
;
Guan Yuanpeng[2]
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/04/11
Parallel active power filter
Particle swarm optimization
Fuzzy control
Harmonics measurement
Multi-pedestrian Tracking for Far-infrared Pedestrian Detection On-board Using Particle Filter (CPCI-S收录)
会议
作者:
Xu, Ruilin[1]
;
Liu, Qiong[1]
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/04/11
particle filter algorithm
multi-pedestrian tracking
multiple feature models
partial least squares regression
far-infrared pedestrian detection
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