scholarly journals 3-D Object Position Estimation from Monocular Gray Image.

1998 ◽  
Vol 64 (619) ◽  
pp. 939-944
Author(s):  
Hai Yuan WU ◽  
Wen Biao JIANG ◽  
Tadayoshi SHIOYAMA
Keyword(s):  
Position Estimation ◽  
Object Position ◽  
Gray Image

Object Position Estimation Using Stereo Vision

2018 ◽  
Author(s):  
T Goutham Sharma ◽  
Nitya Kritin Valivati ◽  
Arvind Puthige ◽  
Unnikrishnan Hari
Keyword(s):  
Stereo Vision ◽  
Position Estimation ◽  
Object Position

Multiple 3D object position estimation and tracking using double filtering on multi-core processor

2012 ◽  
Vol 63 (1) ◽  
pp. 161-180 ◽  
Author(s):  
Jin-hyung Park ◽  
Seungmin Rho ◽  
Chang-sung Jeong ◽  
Jongik Kim
Keyword(s):  
Position Estimation ◽  
Object Position ◽  
3D Object ◽  
Multi Core Processor

scholarly journals Control of a Movable Robot Head Using Vision-Based Object Tracking

2019 ◽  
Vol 9 (4) ◽  
pp. 2503
Author(s):  
Moh Khairudin ◽  
G.D. Chen ◽  
M.C. Wu ◽  
R. Asnawi ◽  
Nurkhamid Nurkhamid
Keyword(s):  
Object Tracking ◽  
Tracking System ◽  
High Accuracy ◽  
Object Identification ◽  
Position Estimation ◽  
Object Position ◽  
Rgb Images ◽  
Robot Head ◽  
Object Marking ◽  
The Right

<span lang="EN-US">This paper presents a visual tracking system to support the movement of the robot head for detecting the existence of objects. Object identification and object position estimation were conducted using image-based processing. The movement of the robot head was in four directions namely  to the right, left, top, and bottom of the robot head. Based on the distance of the object, it shifted the object to many points to </span><span lang="IN">assess</span><span lang="EN-US"> the accuracy of the process of tracking the object. The targeted objects are detected through several processes, namely normalization of RGB images, thresholding, and object marking. The process of tracking the object conducted by the robot head varied in 40 various object points with high accuracy. The further the object’s distance to the robot, the smaller the corner of the movement of the robot produced compared to the movement of the robot head to track an object that was closer even though with the same distance stimulant shift object. However, for the distance and the shift of the same object, the level of accuracy showed almost the same results. The results showed the movement of the robot head to track the object under the head of the robot produced the movement with a larger angular error compared to the movement of the robot head in another direction even though with the stimulant distance of the same object position and the distance shift of the same object.</span>

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