Tracking the Rotation of Lab Animals via Computer Vision
| Autor: | Ayse Karson, A Volkan Atli, Sarp Ertiirk, Nurbay Ates, M. Kemal Gullu |
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| Rok vydání: | 2007 |
| Předmět: |
State model
Radon transform business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Tracking (particle physics) Grayscale Image frame Euclidean distance Software Computer graphics (images) Computer vision Artificial intelligence business Rotation (mathematics) ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | 2007 IEEE 15th Signal Processing and Communications Applications. |
| DOI: | 10.1109/siu.2007.4298668 |
| Popis: | In this work, rotation information of lab animals are extracted using test videos obtained with a computer vision system that includes aIn this work, rotation information of lab animals are extracted using test videos obtained with a computer vision system that includes a QVGA color camera, PC cage and the developed software. Grayscale morphological operations are performed to remove small artefacts and then the lab animal region is extracted for a given image frame. Euclidean distance and Radon transforms are performed to compute the rotation direction afterwards. The information of rotation and number of turns are obtained taking the predefined state model into account. It is observed that the developed system gives successful results for different kinds of scenes. QVGA color camera, PC cage and the developed software. Grayscale morphological operations are performed to remove small artefacts and then the lab animal region is extracted for a given image frame. Euclidean distance and Radon transforms are performed to compute the rotation direction afterwards. The information of rotation and number of turns are obtained taking the predefined state model into account. It is observed that the developed system gives successful results for different kinds of scenes. |
| Databáze: | OpenAIRE |
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