Open AccessAlgorithm for detecting a change in the motion mode of an object moving along a complex trajectory
Author(s) -
A. V. Golubkov,
A. Tsyganov,
I. O. Petrishchev
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1745/1/012115
Subject(s) - trajectory , mode (computer interface) , motion (physics) , object (grammar) , set (abstract data type) , computer science , feature (linguistics) , process (computing) , function (biology) , artificial intelligence , algorithm , computer vision , change detection , linguistics , philosophy , physics , astronomy , evolutionary biology , biology , programming language , operating system
The present paper solves the problem of quick detection of a change in the motion mode of an object moving along a complex trajectory. The process of the object movement is described by a hybrid stochastic model. To solve the problem, a sequential probability ratio criterion is applied. A distinctive feature of the proposed algorithm is the ability to make decisions on a limited set of values of the likelihood ratio function. The results of numerical experiments confirm the efficiency of the developed algorithm.