Minimax Criterion of Similarity for Video Information Processing

Богуш, Р. П.; Maltsev, S.

doi:10.1109/sibcon.2007.371310

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…In [10], with the aim of forming the DF, it is proposed to use the minimax criterion for the similarity of two images. At the same time, there is no regard to the features of the background-object composition of the viewing surface.…”

Section: A Methods For Localizing a Reference Object In A Current Imagmentioning

confidence: 99%

A method for localizing a reference object in a current image with several bright objects

Sotnikov

Tarshyn

Yeromina

et al. 2017

EEJET

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Запропоновано метод формування унімодальної вирішальної функції при прив'язці кореляційно-екстремальних систем навігації до поверхні візуван-ня з кількома яскравими об'єктами. Обрано моделі поточного та еталон-ного зображень, здійснено постановку і вирішено завдання виявлення та бага-топорогової селекції об'єкта прив'яз-ки на зображенні з високою об'єкто-вої насиченістю. Одержано кількісні оцінки ймовірності локалізації об'єкта прив'язки на зображенні Ключові слова: поточне зображен-ня, виявлення та багатопорогова се-лекція об'єкта прив'язки, унімодальна вирішальна функція Предложен метод формирования унимодальной решающей функции при привязке корреляционно-экстремаль-ных систем навигации к поверхности визирования с несколькими яркими объектами. Выбраны модели текущего и эталонного изображений, осущест-влена постановка и решены задачи обнаружения и многопороговой селек-ции объекта привязки на изображе-нии с высокой объектовой насыщен-ностью. Получены количественные оценки вероятности локализации объ-екта привязки на изображении Ключевые слова: текущее изобра-жение, обнаружение и многопорого-вая селекция объекта привязки, унимо-дальная решающая функция UDC 621.396

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Section: A Methods For Localizing a Reference Object In A Current Imagmentioning

confidence: 99%

A method for localizing a reference object in a current image with several bright objects

Sotnikov

Tarshyn

Yeromina

et al. 2017

EEJET

View full text Add to dashboard Cite

show abstract

“…However, the effect of three-dimensionality of the objects themselves on emergence of nonstationary structure of the image was not studied. It was proposed to generate unimodal decision function in accordance with a minimax criterion of image similarity [10]. It was assumed that compared images conform to each other by their structure.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Formation of reference images and decision function in radiometric correlationextremal navigation systems

Yeromina

Petrov

Tantsiura

et al. 2018

EEJET

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CENS by comparing its fragments with the reference image (RI). However, sighting of complex three-dimensional objects from small altitudes and at varying angles can lead to sharp gradients of radio brightness temperature within one object. This causes appearance of new boundaries between individual elements of the object itself, displacement, blurring or new contours on the current image of the sighting surface. These circumstances cause non-stationarity of the current picture formed in the CENS. Thus, a structural mismatch appears between current and reference images which necessitates the use of other auxiliary invariant attributes

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“…For frame comparison of video information a row of measures are used as unit for measurement of similarity images. 18 The rest of the paper is organised as follows. The section on 'Related works' explains some of the recent researches related to our method.…”

Section: Introductionmentioning

confidence: 99%

Motion tracking system in video based on extensive feature set

Uke

Thool

2013

The Imaging Science Journal

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In recent years, object detection and tracking has been a dynamic research area. Rapid development of the multimedia and the associated technologies urge the processing of a huge database of video clips. The processing efficiency lies on the search methodologies utilised in the video processing system. Usage of unsuitable search methodologies may make the processing system ineffective. Hence, effective object detection and tracking system is an essential criterion for searching relevant videos from a huge collection of videos. This paper proposes a unique object detection and tracking system where video segmentation, feature extraction, object detection and tracking are combined perfectly using various features. Initially, the database video clips are segmented into different shots before performing the feature extraction process. The proposed system consists of two stages, namely, feature extraction and tracking of object in the video clips. In the feature extraction stage, firstly, colour feature is extracted based on colour quantisation. Next, edge density feature is extracted for the objects present in the query video. Then, the texture feature is extracted based on LGXP technique. Finally, based on these feature extracted, the object will be detected and the detected objects will be tracked by utilising both forward and backward tracking technique. The proposed methodology proved to be more effective and accurate in object detection and tracking.

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Minimax Criterion of Similarity for Video Information Processing

Cited by 5 publications

References 5 publications

A method for localizing a reference object in a current image with several bright objects

A method for localizing a reference object in a current image with several bright objects

Formation of reference images and decision function in radiometric correlationextremal navigation systems

Motion tracking system in video based on extensive feature set

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Minimax Criterion of Similarity for Video Information Processing

Cited by 5 publications

References 5 publications

A method for localizing a reference object in a current image with several bright objects

A method for localizing a reference object in a current image with several bright objects

Formation of reference images and decision function in radiometric correlation­extremal navigation systems

Motion tracking system in video based on extensive feature set

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Product

Resources

About

Formation of reference images and decision function in radiometric correlationextremal navigation systems