Real-time local texture feature target tracking method

2011 ◽  
Author(s):  
Hua-jun Song ◽  
Yan-jiang Wang
Keyword(s):  
Target Tracking ◽  
Real Time ◽  
Texture Feature ◽  
Tracking Method ◽  
Local Texture ◽  
Feature Target

The Recognition of Target and Attitude of Bucket for Excavator Robot Based on Color Mark Tracking

2011 ◽  
Vol 291-294 ◽  
pp. 2929-2933
Author(s):  
Fu Bin Wang ◽  
Jie Liu ◽  
Chun Wang Jiao ◽  
Zhi Kun Chen
Keyword(s):  
Image Processing ◽  
Target Tracking ◽  
Real Time ◽  
Pressure Sensor ◽  
Light Environment ◽  
Tracking Problem ◽  
Mining Operations ◽  
Tracking Method ◽  
Basic Action ◽  
Effect Of Light

The excavator robot need to track bucket goal and its attitude real-time and dynamically during it’s autonomous mining. On the basis of analyzing basic action of mining operations, collected sequence image of mining process of bucket. To reduce the effect of light environment to image processing, use the target tracking method based on color characteristics to recognize color mark block. The bucket attitude angle can be recognized according to the mark of angle attitude of bucket; the bucket target can be recognized according to the mark block of bucket target. Due to sheltered phenomenon, use stripe color block to recognize bucket target while mining process. The color mark block resolve the target tracking problem for bucket, but also fussing the information of pressure sensor of bucket, thus establishing the foundation for subsequent realization based on behavior of autonomous mining.

scholarly journals Target tracking accuracy and latency with different 4D ultrasound systems – a robotic phantom study

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Svenja Ipsen ◽  
Sven Böttger ◽  
Holger Schwegmann ◽  
Floris Ernst
Keyword(s):  
Target Tracking ◽  
Real Time ◽  
Template Matching ◽  
Image Data ◽  
Distinct Advantage ◽  
Reference Trajectory ◽  
Data Streaming ◽  
Tracking Accuracy ◽  
Time Data ◽  
4D Ultrasound

AbstractUltrasound (US) imaging, in contrast to other image guidance techniques, offers the distinct advantage of providing volumetric image data in real-time (4D) without using ionizing radiation. The goal of this study was to perform the first quantitative comparison of three different 4D US systems with fast matrix array probes and real-time data streaming regarding their target tracking accuracy and system latency. Sinusoidal motion of varying amplitudes and frequencies was used to simulate breathing motion with a robotic arm and a static US phantom. US volumes and robot positions were acquired online and stored for retrospective analysis. A template matching approach was used for target localization in the US data. Target motion measured in US was compared to the reference trajectory performed by the robot to determine localization accuracy and system latency. Using the robotic setup, all investigated 4D US systems could detect a moving target with sub-millimeter accuracy. However, especially high system latency increased tracking errors substantially and should be compensated with prediction algorithms for respiratory motion compensation.

scholarly journals First Demonstration of Combined kV/MV Image-Guided Real-Time Dynamic Multileaf-Collimator Target Tracking

2009 ◽  
Vol 74 (3) ◽  
pp. 859-867 ◽  
Author(s):  
Byungchul Cho ◽  
Per R. Poulsen ◽  
Alex Sloutsky ◽  
Amit Sawant ◽  
Paul J. Keall
Keyword(s):  
Target Tracking ◽  
Real Time ◽  
Multileaf Collimator ◽  
Time Dynamic ◽  
Image Guided
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