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searchwing-bilderkennung [2019/05/31 00:10] wf68spef |
searchwing-bilderkennung [2021/05/31 22:03] (current) beckmanf added SE2 Projektarbeit Kamera |
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By analysing the image with we receive from the camera, we can detect boats on the sea. To achieve this, different algorithms and approaches from the image processing and deep learning domain can be used. | By analysing the image with we receive from the camera, we can detect boats on the sea. To achieve this, different algorithms and approaches from the image processing and deep learning domain can be used. | ||
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+ | ===== Camera ===== | ||
+ | |||
+ | {{ ::g2-picam.pdf | S. Keller, K. Dierig, L. Range, "SearchWing - Messung des Energieverbrauchs eines Raspberry Pi und Charakterisierung des Kamersystems", Projektarbeit, WS 2020/21}} | ||
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+ | ===== Compression effects on detection ===== | ||
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+ | Does JPEG image compression affect detection? See | ||
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+ | [[https://doi.org/10.1117/1.JMI.6.2.027501|Farhad Ghazvinian Zanjani, Svitlana Zinger, Bastian Piepers, Saeed Mahmoudpour, Peter Schelkens, and Peter H. N. de With "Impact of JPEG 2000 compression on deep convolutional neural networks for metastatic cancer detection in histopathological images," Journal of Medical Imaging 6(2), 027501 (24 April 2019). https://doi.org/10.1117/1.JMI.6.2.027501]] | ||
===== Detection by using edgedetector and a 2d tracker in world coordinates ===== | ===== Detection by using edgedetector and a 2d tracker in world coordinates ===== | ||
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[[https://media.freifunk.net/v/35c3oio-77-detection-of-refugee-boats-on-the-mediterranean-with-a-drone-by-using-foss|Click to go to the video]] | [[https://media.freifunk.net/v/35c3oio-77-detection-of-refugee-boats-on-the-mediterranean-with-a-drone-by-using-foss|Click to go to the video]] | ||
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+ | ===== Anomaly detection using FFT ===== | ||
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+ | {{:screenshot_from_2020-05-18_09-05-03.png?600|}} | ||
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+ | Paper: https://cloud.hs-augsburg.de/s/KNiMLrY5P6H4JXJ | ||
===== Imagerecognition by using a OpenCV Haar Cascade Classifier ===== | ===== Imagerecognition by using a OpenCV Haar Cascade Classifier ===== | ||
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[[https://git.etech.fh-augsburg.de/friedrich.beckmann/bilderkennung|https://git.etech.fh-augsburg.de/friedrich.beckmann/bilderkennung]] | [[https://git.etech.fh-augsburg.de/friedrich.beckmann/bilderkennung|https://git.etech.fh-augsburg.de/friedrich.beckmann/bilderkennung]] | ||
- | Die Bilderkennung markiert in dem Bild mögliche Boote. Das sieht dann so aus: | + | The detected boats can be seen in the following image. They are marked by a blue rectangle. |
- | {{:bilderkennung-beispiel.jpg|Bilderkennung Beispiel}} | + | {{:bilderkennung-beispiel.jpg?1101x1044|Bilderkennung Beispiel}} |
- | Und in der Vergrößerung so: | + | Recified: |
- | {{:bilderkennung-beispiel-detail.jpg|Bilderkennung Beispiel Detail}} | + | {{:bilderkennung-beispiel-detail.jpg?1082x1027|Bilderkennung Beispiel Detail}} |
- | In diesem Beispiel wird das zweite Boot mit der blauen Persenning nicht erkannt. Das Boot darüber ist mit dem blauen Rechteck markiert. | + | In this example the second boat with Persenning does not get detect. The boat above get detected. |
===== Datasets ===== | ===== Datasets ===== | ||
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* [[:searchwing-flug-virus-20181007|Flug am 7.10.2018 mit der Pipistrel Virus zum Bodensee]] | * [[:searchwing-flug-virus-20181007|Flug am 7.10.2018 mit der Pipistrel Virus zum Bodensee]] | ||
* [[https://captain-whu.github.io/DOTA/|DOTA Airial Image Dataset (Wuhan Univ./Cornell/DLR)]] | * [[https://captain-whu.github.io/DOTA/|DOTA Airial Image Dataset (Wuhan Univ./Cornell/DLR)]] | ||
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- | === === | ||