Methods for Counting People in Images

U ovom radu prikazana je ukratko povijest računalnog vida s fokusom na duboke konvolucijske neuronske mreže. Napravljena su i testirana dva sustava za detekciju i praćenje ljudi na slici i videu: prvi je Viola-Jones algoritam temeljen na kaskadama Haarovih značajki, te YOLO (You Only Look Once) algoritam, jedan od trenutno najboljih algoritama za detekciju objekata temeljen na konvolucijskim neuronskim mrežama. Na kraju su opisani dobiveni rezultati te su analizirani krivo prepoznati uzorci i situacije. In this work, brief history of computer vision is shown. The focus is on the deep convolutional neural networks. Two systems for people detection and tracking are built and tested: first one is Viola-Jones algorithm based on Haar features cascades, and YOLO (You Only Look Once) algorithm, one of the best state-of-the-art algorithms for object detection based on deep convolutional neural networks. Following that, numerical results are expressed from the classifiers, their performance is evaluated and misclassified examples and situations are briefly discussed.