Tracking cameras network synchronization

Abstract

Nowadays we can notice a lot of cameras on city streets and above transport routes. These cameras usually carry out 24-hour monitoring, transmitting data to servers. Data from cameras can be useful as evidence in various life circumstances, for example, in car accidents, breaking the law issues and so on. In this thesis I would like to take up the topic of synchronizing tracking cameras in network. Synchronization and object tracking can give us lots of comprehensive information about object state. This technologies can be useful where we need to gather additional metrics from video transmission in real-time (distance, object identification and so on). For example, camera application for different sport events. One of the cases is FIA (Fédération Internationale de l’Automobile (fr.)) (FIA, 1904) Formula racing championships with their F1 TV (F1 TV , 2003) web application. We can easily watch every race from different cameras simultaneously with additional real-time metrics provided by AWS (Amazon Web Services) (AWS, 2006) company. For this type of application is very necessary to have a good level of synchronization and tracking technologies. According to this, I want to make a research with these two technologies, gather metrics and make a conclusion about possible improvements.