A Semi-Automated Approach for Recognizing Moving Targets Using a Global Vision System
| Autor: | Roger Ripas-Mamani, Dennis Barrios-Aranibar, Yessica Rosas-Cuevas, Raquel E. Patino-Escarcina, Claudia Cervantes-Jilaja |
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| Rok vydání: | 2016 |
| Předmět: |
Pixel
Computer science business.industry 010401 analytical chemistry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cognitive neuroscience of visual object recognition Mobile robot Image processing 04 agricultural and veterinary sciences Image segmentation Color space 01 natural sciences 0104 chemical sciences 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Segmentation Computer vision Artificial intelligence business Soccer robot |
| Zdroj: | 2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium (LARS/SBR). |
| DOI: | 10.1109/lars-sbr.2016.10 |
| Popis: | Global vision system works with processes of sorting, recognition and identification through some external characteristics as: color, shape and size depending of specific targets. In this paper we propose a semi-automated approach to recognize the targets in moving, where first is performed the image calibration with respect to the lighting and then proceeds to recognize a variety of colors and sizes, through several channels of different color spaces in the processing of video sequences to recognize moving targets, using the proposed algorithm called Color Segmentation (Algorithm 1) to identify a variety of light and dark colors. After semi-automated process is performed the sorting or recognizing of the moving target, where is obtained the position (x, y) of central point and the size of the area (pixels) of the segmentation region. Tests were conducted in: the location of robots in a soccer robot environment (with 94.36% of accuracy) and chestnuts selection process (with 91.80% of accuracy), if the image needs to recognize more than five detections then it proceeds to add parallelism, i.e. add a thread for each segmented color, thus improving processing time. |
| Databáze: | OpenAIRE |
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