An Intelligence Monitoring System for Abnormal Water Surface Based on ART

Abstract

Classing object is an important step for the high-level visions processing tasks, such as security managing, and abnormality event analysis. In this paper, we address these challenges of abnormal water surface monitoring in real-world unconstrained environments where the background is complex and dynamic. In the algorithm proposed, we extract the moment features of water surface in a color space, and a technique is developed to monitor the abnormal surface of water based on ART. Experimental results show that our algorithm works efficiently and robustly.