计算机工程2012，Vol.38Issue(15)：142-144,147,4.DOI:10.3969/j.issn.1000-3428.2012.15.039
基于视觉监控的操作手势轨迹分布模式研究
Research on Operation Gesture Trajectory Distribution Patterns Based on Visual Surveillance
摘要
Abstract
The trajectory distribution patterns of pilot operation gesture are learned based on an improved self-organizing neural network model. Wilcoxon rank sum test and the edit distance technology are introduced to determine the matches in the internal net neighborhood, and the cross-validation technique is used to get the threshold for abnormal detection. Using the learned patterns, this paper considers both local and global anomaly detection as well as object behavior prediction. Experimental results demonstrate the effectiveness of this approach.关键词
飞行员手势/层次自组织神经网络/异常检测/行为预测/Wilcoxon秩/交叉验证Key words
pilot gesture/ hierarchical self-organizing neural network/ anomaly detection/ behavior prediction/ Wilcoxon rank/ cross-validation分类
信息技术与安全科学引用本文复制引用
刘振华,傅山..基于视觉监控的操作手势轨迹分布模式研究[J].计算机工程,2012,38(15):142-144,147,4.基金项目
国家“973”计划基金资助项目(2010CB734103) （2010CB734103）
