A Novel Method for Infrared Object Detection Based on Human Visual Attention Mechanism

摘要：

Local visual attention mechanism (LVAM) is firstly presented and combined with bottom-up visual attention mechanism (VAM) to form a unified visual attention framework, based on which a novel infrared object detection method is proposed. Intensity feature is applied to build visual saliency map. Regional Shannon entropy density is used to determine the position of visual attention focus. Accurate object area is extracted with region growing technique imitating local VAM. Experiments demonstrate the outperformance of our proposed visual attention framework and infrared object detection method.

关键词： Infrared object detection visual attention mechanism visual saliency map region growing

作者: Mingqing ZHU Tong GAN Zonghai CHEN

作者单位: China Electronics Technology Group Corporation No.38 Research Institute, Hefei, China Department of Automation of University of Science and Technology of China, Hefei, China

会议类型: 国内会议

会议名称: 2012年第14届中国系统仿真技术及其应用学术年会

会议地点: 三亚

会议语种:英文

页码: 931-934

在线出版日期: 2012-08-11（万方平台首次上网日期，不代表论文的发表时间）