The Multisensory Handbook: A Guide for Children and Adults with Sensory Learning Disabilities

Modeli dubokog učenja temeljeni na konvolucijskim neuronskim mrežama postižu vrhunske rezultate u području računalnog vida. U ovom radu razmatramo arhitekture i algoritme za detekciju i lokalizaciju objekata. Kasnije primjenjujemo Mask R-CNN arhitekturu za lokalizaciju sportaša na video snimci nogometne utakmice. Nakon toga,mjerimo performanse Mask R-CNN detektora prilikom detekcije sportaša na zadanoj video snimci nogometne utakmice.Deep learning models which are based on convolutional neural networks achieve top results in the field of computer vision. In this paper, we consider architecture and algorithms for detecting and localizing objects. Later we apply the Mask R-CNN architecture to localize the athletes on the videotape of the football match. We then measure the performance of the Mask R-CNN detector on detecting athletes on the given football match videotape