Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

ANALYSIS OF ALGORITHMS FOR DETECTING MOVING OBJECTS IN THE VIDEO IMAGE

idBernikov V.V. idPreobrazhenskiy A.P. idChoporov O.N.

UDC 004.932
DOI: 35t346/4356/453/

  • Abstract
  • List of references
  • About authors

The problem related to the detection of objects on video images, has many practical applications related to security issues, information processing in virtual reality, management of mobile robots, etc. The paper considers the most frequently used methods of allocation moving objects in relation to video sequences obtained from household cameras in the presence of noise in images. The main features of object detection are shown. The characteristics of the main methods used for the analysis are described: the method of background subtraction, the method of time difference, the method of optical flow. The main problems of processing video sequences are identified, the impossibility of using classical methods is described, and ways to improve the quality of moving objects are proposed. The table of comparative analysis of methods is given: time spent on calculation, accuracy of detection, advantages and disadvantages. There is also a table comparing the success of methods when detecting objects, which specifies the percentage of successful object definition at a given video resolution and a certain environment. It has been demonstrated that video resolution has a noticeable effect on the success of the detection of moving objects, as the higher the resolution, the more preliminary information for processing the algorithm has in each frame.

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Bernikov Vladislav Valerievich

ORCID |

Voronezh Institute of high technologies

Voronezh, Russian federation

Preobrazhenskiy Andreiy Petrovich
Doctor of engineering Pofessor
Email: app@moitvivt.ru

ORCID | eLibrary |

Voronezh Institute of high technologies

Voronezh, Russian Federation

Choporov Oleg Nikolaevich
Doctor of engineering Pofessor
Email: choporov@moitvivt.ru

ORCID | eLibrary |

Voronezh Institute of high technologies
Voronezh state technical University

Voronezh, Russian Federation

Keywords: video modeling, optical flow, object detection, processing of the frame, video sequence

For citation: Bernikov V.V. Preobrazhenskiy A.P. Choporov O.N. ANALYSIS OF ALGORITHMS FOR DETECTING MOVING OBJECTS IN THE VIDEO IMAGE. Modeling, Optimization and Information Technology. 2013;1(1). Available from: https://moitvivt.ru/ru/journal/pdf?id=33 DOI: 35t346/4356/453/ (In Russ).

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