Computer vision systems can be applied to a wide variety of tasks, but some of the most interesting are those related with security and surveillance. Within this group, our application for Video Surveillance for Road Traffic Monitoring can be placed. We propose a solution based on machine learning and video analysis techniques that involves the whole process: database evaluation, background estimation, foreground segmentation, video stabilization and object tracking. As a result of this, our system will be able to monitorize some basic parameters of traffic flow as vehicles counting or speed estimation.
C. Carmona, A. Flores, A. Hernández, A. Imbernon, A. Mosella
Pursuit and evasion tends to be incorporated in human nature from a very long time with a very huge range of activities. Here, we are going to create an intelligent chase algorithm, which uses two basic approaches. After which we will use the newly created equations to simulate both approaches and provide graphical results. This analysis is based upon the fact that in modern days we can estimate the speed of a moving object and then chase it down depending upon its speed. We will also be taking the accuracy of such estimation in picture and depending upon a certain accuracy and other inputs the simulation will provide the result and performance of both the approaches.
“As ideias de economistas e filósofos políticos ambos, quando estão certos ou errados são mais poderosas do que comumente entendido. De fato, o mundo por um pouco mais. Homens práticos, que acreditam ser isentos de qualquer influência intelectual são geralmente escravos de algum economista morto.” (John Maynard Keynes – A Teoria Geral do emprego, juro e moeda).