BYSTRYI ALGORITM OTsENKI GLUBINY STEREOIZOBRAZhENII NA OSNOVE METODOV VYDELENIIa IZMENENII NA STsENE NABLIuDENIIa
Stereo image depth estimation algorithms have not been widely used in CCTV systems yet, since either their accuracy is low or their computational complexity is high, which prevents implementation of these algorithms due to economic limitations on the cost of equipment used in security systems. In this paper, a new fast algorithm is proposed for reconstructing the depth of stereo images, which is used for reliable event identification in the CCTV systems cameras field of view. This real time video stream processing method is based on the use of a fast algorithm for detecting changes in the cameras scene in the combination with SGBM depth estimation algorithm, which processes only image areas containing scene changes. The proposed method of significant computational complexity reduction of the depth estimation algorithm makes possible to acquire information about the distance from the cameras to moving objects in the field of view and use this information as an additional feature, that helps to reduce the operational cost and to improve the reliability of CCTV systems.