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Tracking People in Video Captured from a Drone
Lukáč, Jakub ; Orság, Filip (oponent) ; Goldmann, Tomáš (vedoucí práce)
This thesis deals with the problem of determining the location of a person through their distance from camera approximation. The location is derived from video which is captured using a drone. The goal here is to propose and test existing solutions, and state-of-the-art algorithms for each encountered subproblem of the tracking. This means overcoming challenges such as object detection, re-identification of persons in time, estimating object distance from the camera and processing data from various sensors. Then, I am using these methods to design the final solution which can operate in nearly real-time. Implementation is based on the use of Intel NCS accelerator unit with the cooperation of small computer Raspberry Pi. Therefore, the setup may be easily mounted directly to a drone. The resulting application can generate tracking metadata for detected individuals in the recording. Afterwards, the positions are visualised as paths for better end-user presentation.
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Tracking People in Video Captured from a Drone
Lukáč, Jakub ; Orság, Filip (oponent) ; Goldmann, Tomáš (vedoucí práce)
This thesis deals with the problem of determining the location of a person and its approximation. The location is derived from video which is captured using a drone. The goal here is to propose and test existing solutions and state-of-the-art algorithms for each encountered subproblem. This means overcoming challenges such as object detection, re-identification of persons in time, estimating object distance from camera and processing data from various sensors. Then, I am using the methods to design the final solution which can operate in nearly real-time. Implementation is based on the use of Intel NCS accelerator unit with the cooperation of small computer Raspberry Pi. Therefore, the setup may be easily mounted directly to a drone. The resulting application can generate tracking metadata for detected individuals in the recording. Afterwards, the positions are visualised as paths for better end-user presentation.
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Extrakce ruky z fotografie s různým pozadím
Kováčik, Timotej ; Kanich, Ondřej (oponent) ; Sakin, Martin (vedoucí práce)
Táto práca je zameraná na extrakciu ľudskej ruky z fotografií s rôznym pozadím. Cieľom je navrhnúť a implementovať algoritmus schopný lokalizovať ľudskú ruku v obraze a identifikovať jej časti. V práci sú analyzované spôsoby biometrickej identifikácie a verifikácie, metódy používané pre extrakciu objektov z obrazu. Výsledkom práce je návrh a implementácia algoritmu ktorý je schopný extrahovať ruku z fotografie a následne identifikovať jej časti.
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Tracking People in Video Captured from a Drone
Lukáč, Jakub ; Orság, Filip (oponent) ; Goldmann, Tomáš (vedoucí práce)
This thesis deals with the problem of determining the location of a person through their distance from camera approximation. The location is derived from video which is captured using a drone. The goal here is to propose and test existing solutions, and state-of-the-art algorithms for each encountered subproblem of the tracking. This means overcoming challenges such as object detection, re-identification of persons in time, estimating object distance from the camera and processing data from various sensors. Then, I am using these methods to design the final solution which can operate in nearly real-time. Implementation is based on the use of Intel NCS accelerator unit with the cooperation of small computer Raspberry Pi. Therefore, the setup may be easily mounted directly to a drone. The resulting application can generate tracking metadata for detected individuals in the recording. Afterwards, the positions are visualised as paths for better end-user presentation.
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Extrakce ruky z fotografie s různým pozadím
Kováčik, Timotej ; Kanich, Ondřej (oponent) ; Sakin, Martin (vedoucí práce)
Táto práca je zameraná na extrakciu ľudskej ruky z fotografií s rôznym pozadím. Cieľom je navrhnúť a implementovať algoritmus schopný lokalizovať ľudskú ruku v obraze a identifikovať jej časti. V práci sú analyzované spôsoby biometrickej identifikácie a verifikácie, metódy používané pre extrakciu objektov z obrazu. Výsledkom práce je návrh a implementácia algoritmu ktorý je schopný extrahovať ruku z fotografie a následne identifikovať jej časti.
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Tracking People in Video Captured from a Drone
Lukáč, Jakub ; Orság, Filip (oponent) ; Goldmann, Tomáš (vedoucí práce)
This thesis deals with the problem of determining the location of a person and its approximation. The location is derived from video which is captured using a drone. The goal here is to propose and test existing solutions and state-of-the-art algorithms for each encountered subproblem. This means overcoming challenges such as object detection, re-identification of persons in time, estimating object distance from camera and processing data from various sensors. Then, I am using the methods to design the final solution which can operate in nearly real-time. Implementation is based on the use of Intel NCS accelerator unit with the cooperation of small computer Raspberry Pi. Therefore, the setup may be easily mounted directly to a drone. The resulting application can generate tracking metadata for detected individuals in the recording. Afterwards, the positions are visualised as paths for better end-user presentation.
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