| dc.contributor.advisor | Děchtěrenko, Filip | |
| dc.creator | Šerý, Martin | |
| dc.date.accessioned | 2021-03-11T11:03:15Z | |
| dc.date.available | 2021-03-11T11:03:15Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11956/124658 | |
| dc.description.abstract | Research focusing on static scenes with static objects is omitting the time factor from real life examples we are trying to study. Can we say that a lifeguard looking for a drowning man is using the same brain processes that were observed in the laboratory for static scenes? We can conclude that a static scene is a big simplification of the task itself. The aim of this thesis is to prepare a tool which would allow researching dynamic scenes and thus broadening the possibilities of visual detection tasks at hand. Along the tool we also present a couple of simplified examples with which we would like to demonstrate the utilization of the tool. All concluding with a final experiment in which we will try to detect masked patterns in a noisy environment. 1 | cs_CZ |
| dc.description.abstract | Research focusing on static scenes with static objects is omitting the time factor from real life examples we are trying to study. Can we say that a lifeguard looking for a drowning man is using the same brain processes that were observed in the laboratory for static scenes? We can conclude that a static scene is a big simplification of the task itself. The aim of this thesis is to prepare a tool which would allow researching dynamic scenes and thus broadening the possibilities of visual detection tasks at hand. Along the tool we also present a couple of simplified examples with which we would like to demonstrate the utilization of the tool. All concluding with a final experiment in which we will try to detect masked patterns in a noisy environment. 1 | en_US |
| dc.language | English | cs_CZ |
| dc.language.iso | en_US | |
| dc.publisher | Univerzita Karlova, Matematicko-fyzikální fakulta | cs_CZ |
| dc.subject | detection|modeling|1 | en_US |
| dc.subject | f noise|Gabor patch | en_US |
| dc.subject | detection|modeling|1 | cs_CZ |
| dc.subject | f noise|Gabor patch | cs_CZ |
| dc.title | Detection of dynamic Gabor patches in 1/f noise | en_US |
| dc.type | diplomová práce | cs_CZ |
| dcterms.created | 2021 | |
| dcterms.dateAccepted | 2021-02-04 | |
| dc.description.department | Department of Software and Computer Science Education | en_US |
| dc.description.department | Katedra softwaru a výuky informatiky | cs_CZ |
| dc.description.faculty | Matematicko-fyzikální fakulta | cs_CZ |
| dc.description.faculty | Faculty of Mathematics and Physics | en_US |
| dc.identifier.repId | 222986 | |
| dc.title.translated | Detekce dynamických Gaborových vlnek v 1/f šumu | cs_CZ |
| dc.contributor.referee | Pilát, Martin | |
| dc.identifier.aleph | 002425635 | |
| thesis.degree.name | Mgr. | |
| thesis.degree.level | navazující magisterské | cs_CZ |
| thesis.degree.discipline | Artificial Intelligence | en_US |
| thesis.degree.discipline | Umělá inteligence | cs_CZ |
| thesis.degree.program | Informatika | cs_CZ |
| thesis.degree.program | Computer Science | en_US |
| uk.thesis.type | diplomová práce | cs_CZ |
| uk.taxonomy.organization-cs | Matematicko-fyzikální fakulta::Katedra softwaru a výuky informatiky | cs_CZ |
| uk.taxonomy.organization-en | Faculty of Mathematics and Physics::Department of Software and Computer Science Education | en_US |
| uk.faculty-name.cs | Matematicko-fyzikální fakulta | cs_CZ |
| uk.faculty-name.en | Faculty of Mathematics and Physics | en_US |
| uk.faculty-abbr.cs | MFF | cs_CZ |
| uk.degree-discipline.cs | Umělá inteligence | cs_CZ |
| uk.degree-discipline.en | Artificial Intelligence | en_US |
| uk.degree-program.cs | Informatika | cs_CZ |
| uk.degree-program.en | Computer Science | en_US |
| thesis.grade.cs | Výborně | cs_CZ |
| thesis.grade.en | Excellent | en_US |
| uk.abstract.cs | Research focusing on static scenes with static objects is omitting the time factor from real life examples we are trying to study. Can we say that a lifeguard looking for a drowning man is using the same brain processes that were observed in the laboratory for static scenes? We can conclude that a static scene is a big simplification of the task itself. The aim of this thesis is to prepare a tool which would allow researching dynamic scenes and thus broadening the possibilities of visual detection tasks at hand. Along the tool we also present a couple of simplified examples with which we would like to demonstrate the utilization of the tool. All concluding with a final experiment in which we will try to detect masked patterns in a noisy environment. 1 | cs_CZ |
| uk.abstract.en | Research focusing on static scenes with static objects is omitting the time factor from real life examples we are trying to study. Can we say that a lifeguard looking for a drowning man is using the same brain processes that were observed in the laboratory for static scenes? We can conclude that a static scene is a big simplification of the task itself. The aim of this thesis is to prepare a tool which would allow researching dynamic scenes and thus broadening the possibilities of visual detection tasks at hand. Along the tool we also present a couple of simplified examples with which we would like to demonstrate the utilization of the tool. All concluding with a final experiment in which we will try to detect masked patterns in a noisy environment. 1 | en_US |
| uk.file-availability | V | |
| uk.grantor | Univerzita Karlova, Matematicko-fyzikální fakulta, Katedra softwaru a výuky informatiky | cs_CZ |
| thesis.grade.code | 1 | |
| uk.publication-place | Praha | cs_CZ |
| uk.thesis.defenceStatus | O | |
| dc.identifier.lisID | 990024256350106986 | |
