Motion Object Detection Research Based on Texture Feature

Abstract

The result of motion object detection will be affected by illumination changes. This paper proposes a novel background model based on local texture feature, which is described by local binary pattern (LBP), and LBP is gray-insensitive. Every coming frame and background is converted into LBP at first. Foreground probabilistic frame is generated by operation of exclusive or current LBP and background’s LBP. It represents the probability of a pixel belonging to foreground. Then background can be updated adaptively and fast by foreground probabilistic frame. Experimental results demonstrate the effectiveness of the proposed approach in dealing with sudden illumination changes. It can relative precisely obtain moving objects and update background model quickly.

Keywords

• Motion object detection
• Illumination change
• Local binary pattern
• Background model.