Real-Time Memory-Efficient Video Object Segmentation in Dynamic Background with Multi-Background Registration Technique

Abstract

Background subtraction video segmentation is the important first step for video surveillance applications with fixed camera. There are many existing methods in the literature. However, most of them are either too simple to handle complex environment, such as dynamic background, or too complex to be executed in real-time. Based on the proposed multi-background registration technique, this paper presents a real-time video object segmentation algorithm. The proposed algorithm can better handle non-static background cases compared with original single background registration segmentation. Compared with other works that can handle dynamic background cases, it is efficient in memory usage.