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Research on Face Tracking in Community Monitoring System

Research on Face Tracking in Community Monitoring System
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摘要 This paper proposes a block Mean-Shift algorithm based on target real-time update and LBP texture features, through the target update improves the accuracy of target tracking, enhances the local character of the target through the target block, so as to improve the robustness of algorithm based on skin color backgrounds. And then analyze the Mean-Shift algorithm cannot recover quickly lost target tracking defects, and its improvement by combining the frame difference method.
作者 Shuang Liu
机构地区 Qingyuan Polytechnic
出处 《International Journal of Technology Management》 2013年第1期64-66,共3页 国际技术管理
关键词 face detection face tracking the improved Mean-Shift algorithm 监控系统 人脸跟踪 Mean-Shift 社区 目标跟踪 纹理特征 实时更新 局部特征
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