基于素描对视频的人脸识别研究

在公共安全领域查找关键人，需在视频中比对素描进行检索.为此，改进了仅依靠对素描和视频数据中的人脸提取整体或者局部特征的识别算法，将人脸识别问题转为人脸检索问题，把这2种媒体数据表示为第3种数据，即图像列表.通过比较图像列表完成最终的特征比对.所设计的系统扩展了人脸识别的研究范围，且支持多种媒体数据的检索.对比人脸视频分析融合系统，对素描-视频数据进行人脸识别，结果显示，所提出算法的正确识别率和曲线下面积都有相应提高，而等错误率降幅显著.

Sketch Based Face Recognition in Video

For public securities, the sketch method is often need to be retrieved in video for seeking key people. An improved recognition algorithm that only extracts global or local features from sketch and video media data was presented. The problem of face recognition is turned into face retrieval. The above two medias data is represented as the so called third kind of data, i.e. image list and the final feature comparison is completed by comparing image list. The system designed here extends the research scope of face recognition and supports the retrieval of multi-media data. Compared with face recognition of face video analysis combined system for sketch-video data, the proposed design improves the correct recognition rate of precision and area under the curve, while the equal error rate of equal error rate decreases greatly.