第十三届中国物联网学术会议 (CWSN 2019)

18 / 2019-05-31 19:48:30

Detection of Moving Infrared Small Target Based on Fusion of Multi-Gradient Filter and Vibe Algorithm

Vibe Algorithm, Ghost, Gradient Filter, Image Fusion

智能感知、定位与追踪 > 目标的感知、识别和追踪

Aiming at the problem that dim small targets are submerged to complicated background in infrared images, it is difficult to complete extraction from background and noise clutter. An improved vibe algorithm is proposed for small target detection and tracking. First, target areas are extracted and stored by using vibe algorithm in every frame of video, meanwhile local multi-gradient filter are used to detect and store prominent edge information in each same frame of video. Then, fusion image is obtained through vibe algorithm and multi-gradient filter. Finally, a threshold separation technique is used to further eliminate background clutter and extract small targets. The experimental results show that proposed algorithm can quickly eliminate ghosts and is effective for detecting moving small targets, and compare to other background difference method, gaussian mixture model, and experimental evaluation results show that our method outperforms vibe ,background difference method and gaussian mixture model methods in terms of both tracking accuracy and computation speed for detection infrared small targets.