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Automatisierte VideoanalyseHorn, D., Ibisch, A., & Tschentscher, M.In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456) Springer VS Verlag
@incollection{HornIbischTschentscher2018, author = {Horn, D. and Ibisch, A. and Tschentscher, M.}, title = {Automatisierte Videoanalyse}, booktitle = {Handbuch Qualitative Videoanalyse}, editor = {Moritz, C. and Corsten, M.}, pages = {445–456}, publisher = {Springer VS Verlag}, year = {2018}, }Horn, D., Ibisch, A., & Tschentscher, M.. (2018). Automatisierte Videoanalyse. In C. Moritz & Corsten, M. (Eds.), Handbuch Qualitative Videoanalyse (pp. 445–456). Springer VS Verlag.2015
Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garageIbisch, A., Houben, S., Michael, M., Kesten, R., & Schuller, F.In SPIE/IS&T Electronic Imaging International Society for Optics and Photonics@inproceedings{IbischHoubenMichaelEtAl2015, author = {Ibisch, André and Houben, Sebastian and Michael, Matthias and Kesten, Robert and Schuller, Florian}, title = {Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage}, booktitle = {SPIE/IS&T Electronic Imaging}, organization = {International Society for Optics and Photonics}, year = {2015}, }Ibisch, A., Houben, S., Michael, M., Kesten, R., & Schuller, F. (2015). Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage. In SPIE/IS&T Electronic Imaging. International Society for Optics and Photonics.2014
Towards highly automated driving in a parking garage: General object localization and tracking using an environment-embedded camera systemIbisch, A., Houben, S., Schlipsing, M., Kesten, R., Reimche, P., Schuller, F., & Altinger, H.In Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings (pp. 426–431)@inproceedings{IbischHoubenSchlipsingEtAl2014, author = {Ibisch, André and Houben, Sebastian and Schlipsing, Marc and Kesten, Robert and Reimche, Paul and Schuller, Florian and Altinger, Harald}, title = {Towards highly automated driving in a parking garage: General object localization and tracking using an environment-embedded camera system}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings}, pages = {426–431}, year = {2014}, }Ibisch, A., Houben, S., Schlipsing, M., Kesten, R., Reimche, P., Schuller, F., & Altinger, H. (2014). Towards highly automated driving in a parking garage: General object localization and tracking using an environment-embedded camera system. In Proceedings of the IEEE Intelligent Vehicles Symposium Proceedings (pp. 426–431).2013
Autonomous Driving in a Parking Garage: Vehicle Localization and Tracking Using Environment-embedded LIDAR SensorsIbisch, A., Stümper, S., Altinger, H., Neuhausen, M., Tschentscher, M., Schlipsing, M., et al.In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 829–934)@inproceedings{IbischStümperAltingerEtAl2013, author = {Ibisch, A. and Stümper, S. and Altinger, H. and Neuhausen, M. and Tschentscher, M. and Schlipsing, M. and Salmen, J. and Knoll, A.}, title = {Autonomous Driving in a Parking Garage: Vehicle Localization and Tracking Using Environment-embedded LIDAR Sensors}, booktitle = {Proceedings of the IEEE Intelligent Vehicles Symposium}, pages = {829–934}, year = {2013}, }Ibisch, A., Stümper, S., Altinger, H., Neuhausen, M., Tschentscher, M., Schlipsing, M., et al. (2013). Autonomous Driving in a Parking Garage: Vehicle Localization and Tracking Using Environment-embedded LIDAR Sensors. In Proceedings of the IEEE Intelligent Vehicles Symposium (pp. 829–934).-
Echtzeitfähige Personenerkennung mit einem Deformable Part Model unter Berücksichtigung von VerdeckungenKippert, S.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany
@mastersthesis{Kippert2016b, author = {Kippert, Stefan}, title = {Echtzeitfähige Personenerkennung mit einem Deformable Part Model unter Berücksichtigung von Verdeckungen}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {September}, type = {B.Sc. thesis}, year = {2016}, }Kippert, S. (2016, September). Echtzeitfähige Personenerkennung mit einem Deformable Part Model unter Berücksichtigung von Verdeckungen. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Action Classification Using a Combination of Hough Voting and Random ForestSpata, D.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Spata2016b, author = {Spata, Dominic}, title = {Action Classification Using a Combination of Hough Voting and Random Forest}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {August}, type = {B.Sc. thesis}, year = {2016}, }Spata, D. (2016, August). Action Classification Using a Combination of Hough Voting and Random Forest. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Videobasierte Klassifikation von GruppenverhaltenAsakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S.Study project, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{AsakuraHegenbarthKippertEtAl2016, author = {Asakura, Vincent and Hegenbarth, Jens and Kippert, Stefan and Spata, Dominic and Tayeran, Shervin}, title = {Videobasierte Klassifikation von Gruppenverhalten}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, type = {Study project}, year = {2016}, }Asakura, V., Hegenbarth, J., Kippert, S., Spata, D., & Tayeran, S. (2016). Videobasierte Klassifikation von Gruppenverhalten. Study project, Applied Computer Science, Ruhr University Bochum, Germany.Robuste Detektion von abnormalen Gruppenverhalten unter Verwendung einer Kombination von Particle Advection und Social Force ModelHegenbarth, J.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Hegenbarth2016, author = {Hegenbarth, Jens}, title = {Robuste Detektion von abnormalen Gruppenverhalten unter Verwendung einer Kombination von Particle Advection und Social Force Model}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }Hegenbarth, J. (2016). Robuste Detektion von abnormalen Gruppenverhalten unter Verwendung einer Kombination von Particle Advection und Social Force Model. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Echtzeitfähige Personenerkennung mit einem Deformable Part Modell (DPM) unter Berücksichtigung von VerdeckungenKippert, S.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Kippert2016, author = {Kippert, Stefan}, title = {Echtzeitfähige Personenerkennung mit einem Deformable Part Modell (DPM) unter Berücksichtigung von Verdeckungen}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }Kippert, S. (2016). Echtzeitfähige Personenerkennung mit einem Deformable Part Modell (DPM) unter Berücksichtigung von Verdeckungen. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.Erstellung einer Bibliothek in C++ zur automatischen Auswertung einer Tremor-SpiraleSangaré, M.Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany@mastersthesis{Sangaré2016, author = {Sangaré, Mohamed}, title = {Erstellung einer Bibliothek in C++ zur automatischen Auswertung einer Tremor-Spirale}, school = {Applied Informatics, Univ. of Bochum, Germany}, month = {January}, type = {M.Sc. thesis}, year = {2016}, }Sangaré, M. (2016, January). Erstellung einer Bibliothek in C++ zur automatischen Auswertung einer Tremor-Spirale. Bachelor's thesis, Applied Informatics, Univ. of Bochum, Germany.Verwendung von Texturanalyse zur Zuordnung von Objekten unter großer PerspektiveSangaré, M.Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany@mastersthesis{Sangaré2016b, author = {Sangaré, Mohamed}, title = {Verwendung von Texturanalyse zur Zuordnung von Objekten unter großer Perspektive}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }Sangaré, M. (2016). Verwendung von Texturanalyse zur Zuordnung von Objekten unter großer Perspektive. Master’s thesis, Applied Computer Science, Ruhr University Bochum, Germany.Action Classification Using a Combination of Hough Voting and Random ForestSpata, D.Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany@bachelorthesis{Spata2016, author = {Spata, Dominic}, title = {Action Classification Using a Combination of Hough Voting and Random Forest}, school = {Applied Computer Science, Ruhr University Bochum, Germany}, year = {2016}, }Spata, D. (2016). Action Classification Using a Combination of Hough Voting and Random Forest. Bachelor's thesis, Applied Computer Science, Ruhr University Bochum, Germany.The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, GermanyTel: (+49) 234 32-28967
Fax: (+49) 234 32-14210
2016