Estimating the position of a moving object based on test disturbance of camera position

The problem of estimating the coordinates of a moving object based on visual data arises in numerous applications, starting from robotic and ending with the consumer market of portable devices. Traditional algorithms for solving this problem require either additional devices or significant constrain...

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Bibliographic Details
Published in:Automation and remote control 2016-02, Vol.77 (2), p.297-312
Main Authors: Krivokon, D. S., Vakhitov, A. T., Granichin, O. N.
Format: Article
Language:English
Subjects:
CAE) and Design
Calculus of Variations and Optimal Control
Optimization
Computer-Aided Engineering (CAD
Control
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Robotics
Systems Theory
Topical Issue
Citations: Items that this one cites
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Summary:The problem of estimating the coordinates of a moving object based on visual data arises in numerous applications, starting from robotic and ending with the consumer market of portable devices. Traditional algorithms for solving this problem require either additional devices or significant constraints on the possible motion of the object. In this work, we present a new approach to tracking the object that lets us estimate its position under sufficiently general conditions. The method is based on randomizing the camera location independently of the object’s motion; since the test disturbance we choose is independent, it lets us construct a feasible iterative pseudogradient estimation algorithm.
ISSN:0005-1179
1608-3032
DOI:10.1134/S0005117916020065