Advances in real-time object recognition and tracking: the connection between computer vision and ai

Diplomsko delo obravnava področje prepoznavanja objektov in sledenja v realnem času, s povezavo med računalniškim vidom in umetno inteligenco. Opiše metode za prepoznavanje in sledenje objektom, njihovo integracijo v naprave, uporabo, prednosti, slabosti, tehnične in etične ovire ter praktični primer uporabe s Pythonom, OpenCV in NumPy.The thesis addresses the area of object recognition and real-time tracking with the connection between computer vision and artificial intelligence. It describes methods for object recognition and tracking, their integration into devices, usage, advantages, disadvantages, technical and ethical barriers, and a practical example using Python, OpenCV, and NumPy