WorldCat Identities

Bohun, Ivan 1618?-1664

Overview
Works: 19 works in 27 publications in 3 languages and 108 library holdings
Roles: Author
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Most widely held works about Ivan Bohun
 
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Most widely held works by Ivan Bohun
Study of impulsive differential equations using critical point theory by Ivan Bohun( )

1 edition published in 2011 in English and held by 1 WorldCat member library worldwide

Robust structured tracking by Ivan Bohun( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Model-free visual tracking is an important problem in computer vision. The abundance of applications make the problem attractive, and, as a result, significant progress was made, especially in the recent years. A number of reasons make tracking a hard problem: change of lighting conditions throughout the video, change of scale and rotation of the object, as well as frequent occlusions. In this dissertation, we build upon a tracker known as Struck, which is based on a structured support vector machine. To make the structured tracker robust, we improve it in a number of ways. To make the structured tracker robust to short-time occlusions and false-positive detections, we propose to use the Robust Kalman filter. Here, we develop a strategy that allows us to detect, and recover from, short-time occlusions and/or incorrect detections. By treating inconsistent detections, which are labeled by the filter as outliers, we show that our new method, called RobStruck, improves the tracking accuracy as measured by standard tracking-accuracy metrics. To guide the tracker into locations that are more likely to contain an object, we propose to use saliency measures. Saliency measures, also known as objectness, estimate how likely a given location in the image to contain an object of any type. The objectness measures we consider here - straddling and edge density - are based on semantic object segmentation and edge detection. These measures are unsupervised, and are fast to compute - an ideal fit for tracking, where real-time performance is often desired. We build a object-aware tracker, which we call ObjStruck and show that objectness measures improve tracking. To find a better feature representation, we incorporate deep features from pre-learned deep-convolutional network in a computationally-efficient manner. Using a M-Best diverse-sampling approach, we can sample a small and diverse set of bounding boxes that are likely to contain the target. These bounding boxes are then used to perform detection using deep features. The resulting tracker, which we call MBestStruck, uses high-quality feature representation while remaining computationally efficient. We systematically evaluate each of our contributions on four different visual-tracking benchmarks and compare them to the state-of-the-art
Polkovnik Ivan Bogun by Michajlo Guzar-Kolodzinśkij( Book )

1 edition published in 1941 in Undetermined and held by 1 WorldCat member library worldwide

 
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Alternative Names
Bogun, Ivan, asi 1618-1664

Bogun, Ivan ca 1618-1664

Bohun, Ivan

Bohun, Ivan d. 1664

Bohun, Iwan Teodorowicz, asi 1618-1664

Bohun, Iwan Teodorowicz ca 1618-1664

Fedorenko, Ivan 1618?-1664

Ivan Bohun historical character

Ivan Bohun történelmi személyiség

Iwan Bohun ukrainischer Kosakenführer

Богун, Иван 1618?-1664

Богун, Іван 1618?-1664

Богун, Іван д. 1618?-1664

Иван Богун

Іван Богун

Іван Богун український військовий діяч періоду Хмельниччини

Իվան Բոգուն

イヴァン・ボフーン

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