基于视觉监控的操作手势轨迹分布模式研究

摘要

为准确学习飞行员操作手势的轨迹分布模式,提出一种改进的层次自组织映射方法.引入Wilcoxon秩和检验技术,结合编辑距离判断内部网的匹配程度,通过交叉验证使验证集获得误差最小,从而自适应取得判断异常的阈值.根据训练得到的轨迹分布模式检测操作过程中的局部异常,判断运动轨迹所表示的事件是否为异常事件,并预测手势将来行为轨迹.实验结果验证了改进方法的有效性.%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.