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Detection of Anomalies in Pedestrian Walking
Pokorný, Ondřej ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The goal of this work was to create a system that would be able to detect anomalies in pedestrian walking. As the core of my application, I have used OpenPose, which is an application for detecting human skeletons. Then I used a bidirectional LSTM neural network to detect anomalies in video sequences. This architecture was chosen during the experiment because it outperformed other solutions. I trained my model to detect three types of anomalies. The output of my application is a video with marked sequences of anomalies. The whole system is implemented in Python.
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UI for the Cooperation of a Surveillance System with a Human
Klem, Václav ; Špaňhel, Jakub (referee) ; Bažout, David (advisor)
This bachelor's thesis discusses the topic of the design and development of an effective user interface for the cooperation of a user and a surveillance system. It offers a study of currently available tools for the annotation of videos and detection/tracking of people in these videos to create an annotation application intended for new way of detecting anomalies. This innovative way is based on detecting anomalies on the level of frames. Anomaly in this sense means any illegal behavior of people in a video. This thesis aims to create a proposition of UI design for the annotation application, confirm the validity of the concept and then implement the full-fledged version of this application based on the testing results. During the testing of the prototype, the annotation success rate of 89% and the rating of overall UI clarity of 83% respectively were reached. Following the results of the testing, the final version of the application was implemented reflecting the user feedback.
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Detection of Anomalies in Pedestrian Walking
Pokorný, Ondřej ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
The goal of this work was to create a system that would be able to detect anomalies in pedestrian walking. As the core of my application, I have used OpenPose, which is an application for detecting human skeletons. Then I used a bidirectional LSTM neural network to detect anomalies in video sequences. This architecture was chosen during the experiment because it outperformed other solutions. I trained my model to detect three types of anomalies. The output of my application is a video with marked sequences of anomalies. The whole system is implemented in Python.
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CCTV system controller including motion-detection feature
Wirth, Michal ; Horáček, Jan (advisor) ; Dupej, Ján (referee)
The object of this work is to design and implement an application for managing a smaller surveillance system. There are analyzed several ways of it's possible arrangement. After then an appropriate application's architecture is designed based on discovered facts. Implemented system is introduced from user's point of view and also in a more technical sense. There is also a research of algorithms for real-time detection of moving objects within static scenes. Introduced ones are implemented, measured for their efficiency and compared with each other.
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CCTV system controller including motion-detection feature
Wirth, Michal ; Horáček, Jan (advisor) ; Dupej, Ján (referee)
The object of this work is to design and implement an application for managing a smaller surveillance system. There are analyzed several ways of it's possible arrangement. After then an appropriate application's architecture is designed based on discovered facts. Implemented system is introduced from user's point of view and also in a more technical sense. There is also a research of algorithms for real-time detection of moving objects within static scenes. Introduced ones are implemented, measured for their efficiency and compared with each other.
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