TY - JOUR

T1 - Estimating the position of a moving object based on test disturbance of camera position

AU - Krivokon, D. S.

AU - Vakhitov, A. T.

AU - Granichin, O. N.

PY - 2016/2/1

Y1 - 2016/2/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84958260432&partnerID=8YFLogxK

UR - https://elibrary.ru/item.asp?id=26852167

U2 - 10.1134/S0005117916020065

DO - 10.1134/S0005117916020065

M3 - Article

AN - SCOPUS:84958260432

VL - 77

SP - 297

EP - 312

JO - Automation and Remote Control

JF - Automation and Remote Control

SN - 0005-1179

IS - 2

ER -