支持向量机在视频运动目标分析中的应用

提出一种基于支持向量机的运动目标分类方法. 先将支持向量机引入分析视频运动目标中, 再在视频中筛选出简单有效的组合特征对目标进行分类. 该方法先使用混合Gauss背景模型提取前景运动目标, 获取目标的形状特征和运动特征, 再利用支持向量机对样本数据进行训练, 得到最优决策函数. 实验结果表明, 利用支持向量机和运动目标特征组合的方法进行运动目标分析实用、 有效.

Application of Support Vector Machine in Video Moving Target Analysis

Support vector machine was introduced into the analysis of moving objects, simple and effective combination of extracted target features was performed for the classification of moving objects. We used Gaussian mixture background model to detect moving objects, from which shape features and movement features were extracted. Support vector machine was adopted to obtain the optimal decision function via training marked sample data. The experiment shows that the analysis of moving targets via support vector machine and moving object feature combination is effective.