TY - CONF A1 - Philipps, Jonathan A1 - Bönninger, Ingrid A1 - Weigert, Martin A1 - Vasquez, Javier T1 - Automatic Tracking and Counting of Moving Objects T2 - IEEE Conferenc on Bio-inspired Intelligence (IWOBI), 2014, Liberia, Costa Rica, 16-18 July 2014 N2 - 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. Y1 - 2016 UR - https://opus4.kobv.de/opus4-UBICO/frontdoor/index/index/docId/17551 SN - 978-1-4799-6174-0 SP - 93 EP - 97 PB - IEEE CY - Piscataway, NJ ER -