计算机科学 ›› 2019, Vol. 46 ›› Issue (3): 298-302.doi: 10.11896/j.issn.1002-137X.2019.03.044
陈威,刘艳,雷庆
CHEN Wei, LIU Yan, LEI Qing
摘要： 针对传统差异行为特征分类方法难以对小差异行为进行有效识别且分类精度低等缺陷,提出了基于智能视觉的小差异行为特征分类方法。首先采用免疫多Agent方法对小差异行为进行特征提取,对获取的图像集合实施免疫多Agent操作,分析人物轻微形变的小差异行为,获取特征提取集;然后采用视频帧图像阵列检测方法对特征提取集实施像素灰度预处理,通过构建视频帧图像阵列,跟踪识别初始化学习得到灰度像素值,获取较优的小差异行为特征集;最后基于多衡量标准的小差异行为特征分类方法,对较优特征集实施分割操作,采用各个特征子集与衡量标准对比的方式,获取最优小差异行为特征分类结果。实验结果表明,所提方法提高了小差异行为特征的分类精度,且具有较高的工作效率。
中图分类号:
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