关键词: 轨道交通, 人像识别, 多特征融合, 智能视频, 特征提取

Abstract: Considering the features of passenger flow and application requirements of rail transportation, this paper focuses on the global features extraction. It explores the upper features extracting and the Tzone features extracting based on detailed description of image preprocessing technology, facial space establishment and eigenface recognition method. The recognition method based on global features is the identification by extracting the overall facial shape features which is easily affected by expressions, poses, and shades. The recognition method based on the upper features and the Tzone features is proved to be superior to the recognition method based on global features in terms of solving problems of impressions and shades. They are summed according to their own weight. Therefore, the paper proposes a facial recognition method based on features fusion. Pilot application of the proposed method at some stations on BeijingShanghai high speed line proves that this method effectively improves the facial recognition accuracy.

Key words: rail transportation, facial recognition, features fusion, intelligent video, feature extraction