基于级联投票机制的视频人种识别方法

来源 :第十一届中国智能机器人会议 | 被引量 : 1次 | 上传用户：Water_E

【摘要】

：

使用LBP算子对视频中的人脸图像提取特征,通过线性SVM分类器进行人种分类,并利用级联投票机制提高人种识别的正确率,大大降低了视频序列中人脸误检带来的干扰.本文提出的识别方法在FERET数据库中具有较好的性能;在人种识别自行建立的LFW和WEB复杂训练数据库中通过交叉验证测试的识别率达到91.10％;该方法在视频数据库中的平均识别率可达86.29％,大量实验证明本文方法对自然场景中的光照、角度和位

【作者】

：

刘梦源金永庆马里千刘宏

【机构】

：

北京大学深圳研究生院物联网智能感知技术实验室,广东深圳518055 西华大学机械工程学院,四川成都

【出处】

：

第十一届中国智能机器人会议

【发表日期】

：

2015年4期

【关键词】

：

视频图像人种识别级联投票机制 LBP算子

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