Real Time Monitoring System for Crag Based on the Adaptive Color's Spatial Information Fusion Algorithm

Abstract

This paper presented Real time monitoring system for crag based on the Adaptive Color's Spatial Information Fusion Algorithm, which realized real-time monitoring of crag area along the road. Aiming at the problems of missing detection, voids and ghost images in the traditional frame difference algorithm, the Adaptive N Frame Difference Algorithm was proposed. Under different light conditions we select the mix color's spatial with the best detection results. And in this spatial, frame difference algorithm is adaptively selected to optimize the system performance. The edge information of moving object extracted by edge detection is combined with frame difference information by using the Information Fusion Algorithm to get a complete moving object detection result. Experiments show that the algorithm proposed in this paper can identify and track moving targets more accurately. At the same time, it greatly reduces the detection time of the system, and has good robustness and real-time performance.