RETRACTED ARTICLE: Infrared pedestrian detection algorithm based on multimedia image recombination and matrix restoration

Abstract

Computer vision and digital image processing technology can be widely used in various fields. Among them, analysis of infrared pedestrian detection in video continuous images is one of the most widely used directions. This paper focuses on pattern recognition-based image processing and its recognition in infrared pedestrian detection. The moving object analysis of video sequence images proposes infrared pedestrian detection algorithm from continuous video sequence images, this method can identify and track the extracted infrared pedestrian detection, which can solve and describe their behaviours. This article describes a moving object tracking algorithm that has used to achieve the detection of a moving target in the background and implement specific warnings. The algorithm uses the background difference method to get the static background model in the current frame, detects the foreground image in the constantly updated video image, and extracts the moving target. The experimental results show that this method can achieve the detection of infrared pedestrian detection in video sequences, it has real-time performance, and the infrared pedestrian detection algorithm can get better detection results.