Improved multi-camera smart tra system for resilient citiesc surveillance

Abstract. In this paper, intelligent trac surveillance system as an important part of a smart resilient city is reviewed. The smart trac control system is very important in improving the lifestyle by decreasing the trac saturation and air pollution. Still, multi-camera vision is more helpful in implementing dierent automatic trac surveillance systems. Apart from their superior features, existing multi-camera surveillance systems suer 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.