scholarly journals Resampling methods for particle filtering: identical distribution, a new method, and comparable study

2015 ◽  
Vol 16 (11) ◽  
pp. 969-984 ◽  
Author(s):  
Tian-cheng Li ◽  
Gabriel Villarrubia ◽  
Shu-dong Sun ◽  
Juan M. Corchado ◽  
Javier Bajo
Keyword(s):  
Particle Filtering ◽  
New Method ◽  
Resampling Methods ◽  
Identical Distribution

Resampling Methods for Particle Filtering: Classification, implementation, and strategies

2015 ◽  
Vol 32 (3) ◽  
pp. 70-86 ◽  
Author(s):  
Tiancheng Li ◽  
Miodrag Bolic ◽  
Petar M. Djuric
Keyword(s):  
Particle Filtering ◽  
Resampling Methods

scholarly journals Improved Parallel Resampling Methods for Particle Filtering

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 47593-47604 ◽  
Author(s):  
Matthew A. Nicely ◽  
B. Earl Wells
Keyword(s):  
Particle Filtering ◽  
Resampling Methods ◽  
Parallel Resampling

Recognition of Driver Turn Behavior Based on Video Analysis

2012 ◽  
Vol 433-440 ◽  
pp. 6230-6234 ◽  
Author(s):  
Yu Feng Lu ◽  
Chun Ling Li
Keyword(s):  
Standard Deviation ◽  
Video Analysis ◽  
Particle Filtering ◽  
Detection System ◽  
Driving Behavior ◽  
Recognition Algorithm ◽  
Driver Distraction ◽  
New Method ◽  
Video Images ◽  
State Detection

In view of the shortcoming of driver state detection system which may take turn behavior as driver distraction, a new method to recognize turn behavior was proposed based on video images analysis. The driver hands position in different driving behavior were analyzed and we found that the position of driver’s hands changed more violent when in turning than in other driving behavior. So we may use standard deviation of driver hands position to recognize driver turn behavior. In order to improve the hands locating speed the Particle Filtering was used to track the driver hands. And experiments resulted that the recognition algorithm can identify the driver's turn behavior.

Selective Sampling and Orientation of Non-Homogeneous Tissues

1968 ◽  
Vol 26 ◽  
pp. 98-99
Author(s):  
C. C. Clawson ◽  
L. W. Anderson ◽  
R. A. Good
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
Light Microscopy ◽  
Random Sampling ◽  
New Method ◽  
Microscope Examination ◽  
Small Areas ◽  
Selective Sampling ◽  
Large Numbers ◽  
Specific Orientation

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.

A new method for the determination of nitrates

1960 ◽  
Vol 23 ◽  
pp. 227-232 ◽  
Author(s):  
P WEST ◽  
G LYLES
Keyword(s):  
New Method
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