@inproceedings{PhilippsBoenningerWeigertetal., author = {Philipps, Jonathan and B{\"o}nninger, Ingrid and Weigert, Martin and Vasquez, Javier}, title = {Automatic Tracking and Counting of Moving Objects}, series = {IEEE Conferenc on Bio-inspired Intelligence (IWOBI), 2014, Liberia, Costa Rica, 16-18 July 2014}, booktitle = {IEEE Conferenc on Bio-inspired Intelligence (IWOBI), 2014, Liberia, Costa Rica, 16-18 July 2014}, publisher = {IEEE}, address = {Piscataway, NJ}, isbn = {978-1-4799-6174-0}, doi = {10.1109/IWOBI.2014.6913945}, pages = {93 -- 97}, abstract = {This work presents the conception and development of a software system to detect, track and count automatically moving objects in videos. The aim of the system is the automatically counting of moving turtles on a beach. To achieve a high recognition rate of the moving objects we consider three segmentation strategies (SubstractionGrayscale, SubstractionBinarization, Substraction Canny), two object identification methods (Grayscale Connected, FelzenwalbHuttenlocher) and two object recognition methods Nearest Object Distance, Certain Recognition Matching. In the preprocessing step of our system we select parameters like the interesting area and the object size. We use the segmentation process for the recognition of potential objects. After the identification of objects as turtles we track their movements. In the last step we count the turtles. In order to have a representative test number of moving objects we use videos with 1661 moving cars. The best results of 98.98 percent we reached with the combination Canny Edge Detection, Grayscale Connected, and Certain Region Matching Strategy.}, language = {en} } @inproceedings{KutznerSteinertWeigertetal., author = {Kutzner, Tobias and Steinert, Christian and Weigert, Martin and W{\"a}lder, Olga and Robel, Karsten and Yan, Alan}, title = {Complex Assessments in Mathematics and Computer Science with STACK and VPL}, series = {InnoEducaTIC, Las Palmas, Gran Canaria, 2018}, booktitle = {InnoEducaTIC, Las Palmas, Gran Canaria, 2018}, publisher = {Universidad de Las Palmas de Gran Canaria}, address = {Las Palmas}, isbn = {978-84-09-02374-5}, pages = {375 -- 381}, abstract = {Programming is not complicated and yet many students do not pass the first hurdles. Software is logical, follows clear rules and mathematical laws. Any healthy person with basic literacy, numeracy and writing skills can learn it. Writing a book, painting pictures or other creative challenges are much harder. And yet many fail at comparable competences. Teaching programming skills by listening and reading is not enough. Students need the process of trial and error in order to acquire the skills needed and should be able to learn by them. However, students should be able to work independently on a computer. The problem that the beginners are overwhelmed and the advanced are bored. This is the case especially in computer science. Despite the use of a comfortable Learning Management System (LMS), many tasks have been submitted to paper and PDF at our university so far. Since the available question-types could not cover all possible complex tasks, it was difficult to inspire the lecturers for a complete digitization of their tasks. To be able to automatically evaluate even tasks in mathematics, computer science and related scientific disciplines two modules have been successfully evaluated at our university. This paper presents the use of these Moodle modules STACK and VPL in selected courses in mathematics and computer science and how to randomize tasks. In these modules complex tasks are prepared in such a way that they are still solvable for the students and automatically evaluated by the system, thus could considerably facilitate the work of the lecturers and academic staff. On concrete examples possible solutions are shown.}, language = {en} } @misc{ReinhardtAltmannReichmannetal., author = {Reinhardt, Fritjof and Altmann, Olaf and Reichmann, Heinz and Brehme, Stefan and Taganow, Olga and Reschke, Pit and Vogel, Steffen and Weigert, Martin and Priwitzer, Barbara}, title = {BNP- und Troponin I-Serumspiegel bei unterschiedlicher Schlaganfall{\"a}tiologie und -topographie}, series = {Aktuelle Neurologie}, volume = {39}, journal = {Aktuelle Neurologie}, number = {4}, issn = {1438-9428}, pages = {168 -- 173}, language = {de} } @inproceedings{BoenningerPetzoldWeigert, author = {B{\"o}nninger, Ingrid and Petzold, Michael and Weigert, Martin}, title = {Bildbasierte Analyse von Verkehrssituationen}, series = {10. Wissenschaftstage der Hochschule Lausitz (FH) - University of Applied Sciences, 2010}, booktitle = {10. Wissenschaftstage der Hochschule Lausitz (FH) - University of Applied Sciences, 2010}, abstract = {Im Rahmen der Studien „Defect Detection Study 21" und „Dynamic Driving Study 21" (DDS21) zur Reduzierung von Verkehrsunf{\"a}llen im 21. Jahrhundert sollen die M{\"o}glich- keiten einer Videoauswertung von einer im Fahrzeug angebrachten Kamera untersucht werden. In einer ersten Version sollen nur Videodaten ohne Kenntnis anderer Fahr- zeugdaten dahingehend ausgewertet werden, ob sich fremde Fahrzeuge, deren Gr{\"o}ße und relative Geschwindigkeit zum Testfahrzeug ermitteln lassen}, language = {de} } @misc{HiemannHilgerMicheletal., author = {Hiemann, Rico and Hilger, Nadja and Michel, J{\"o}rg and Nitschke, J{\"o}rg and B{\"o}hm, Alexander and Anderer, Ursula and Weigert, Martin and Sack, Ulrich}, title = {Automatic Analysis of Immunofluorescence Patterns of HEp-2 Cells}, series = {Annals of the New York Academy of Sciences}, volume = {1109}, journal = {Annals of the New York Academy of Sciences}, number = {1}, issn = {0077-8923}, doi = {10.1196/annals.1398.042}, pages = {358 -- 371}, abstract = {The standard screening test for the recognition of autoimmune diseases is the proof of autoantibodies in serum of patients by indirect immunofluorescence (IIF) based on HEp-2 cells. Manual evaluation of this test is very subjective, slow, and there are no objective parameters as guidelines available. Interlaboratory tests showed occasionally large deviations in the test evaluation resulting in a high variance of results. The aim of this project is fast, objective, safe, and economical automatic analysis of HEp-2 IIF patterns. Images of IIF patterns were completely and automatically captured using an inverse motorized fluorescence microscope. Thereby, device-specific parameters were controlled automatically, too. For fast analysis of IIF patterns new algorithms of image processing were developed. Artifacts were recognized and excluded from analysis by the developed software. Analysis of more than 80,000 images clearly demonstrated full automatization and fast processing of IIF patterns. Additionally serum-specific fluorescence could be easily distinguished from background. Even very weak but positive patterns can be recognized and used for diagnosis. A detailed separation into different basic patterns is possible. Objective, fast, and disease-related economical analysis of HEp-2 immunofluorescence patterns is feasible. The implemented software algorithms allowed a mathematical way of describing IIF patterns and can therefore be a useful tool for the needed standardization process.}, language = {en} }