Improved multi-camera smart traffic surveillance system for resilient cities

In this paper, intelligent traffic surveillance system as an important part of a smart resilient city is reviewed. the smart traffic control system is very important in improving the lifestyle by decreasing the traffic saturation and air pollution. still, multi-camera vision is more helpful in implementing different automatic traffic surveillance systems. apart from their superior features, existing multi-camera surveillance systems suffer from computational complexity and degraded accuracy. the main reason for these shortcomings arises from image processing errors. these errors depend on the image content and thus are not predictable. to overcome this shortage, three-dimensional (3d) optical techniques for improved fusing of the multi-camera images and thus extracting 3d vehicle locations is proposed in this paper. in fact, the proposed multi-camera visionary system is a combination of image processing based and geometrical optics based methods. the result of 3d image reconstruction through the proposed technique shows its dominance in providing the 3d image information.