Global ETD Search
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Showing 1 to 3 of 3 for “"deep SORT"”.
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Detekce objektů a sledování trasy pohybu účastníků provozu pro potřeby inteligentních dopravních uzlů
… tom síť YOLOv5. Pro trasování objektů je použit deep SORT, který je důležitý pro následné získání trénovacích dat z videozáznamu pro predikci pohybu objektů. Přidanou hodnotou je návrh predikčního algoritmu, který je založený na polynomiálním regresním modelu.
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Intention prediction of pedestrians in challenging weather conditions using deep learning
… conditions. The framework consists of five deep-learning models, of which two are designed and trained from scratch and three were used pretrained. The framework takes video frames from the dashcam and inputs them to an enhancement pipeline to determine the quality of the images and enhance …
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Intelligent Transportation Systems and Virtual Reality as Technology Accelerators for Smart Infrastructure Monitoring
… and processed using a combination of YOLO and Deep SORT models, along with projective mapping, to extract the time history of vehicle tire locations. This step, referred to as traffic tracking, predicts the points at which traffic loads excite the bridge. This information is integrated with the …