Detection of deferred luggage in public places

Goal of this thesis is detection of left luggage in public areas, that could be possibly dangerous for their surrounding. Thesis describes detection methods for object detection from digital image. Thesis also contains description of used YOLO neural network and description of methods for image comparison. Text also describes implemented algorithm for object tracking and algorithm for detection of ownership. Result of this thesis is program, able to detect deferred luggage based on it's movement and ownership