现代电影技术Issue(4)：55-63,9.DOI:10.3969/j.issn.1673-3215.2026.04.008
融合改进MobileFaceNet与时序关联的影视人物身份追踪算法
A film and television character identity tracking algorithm integrating and im-proving MobileFaceNet with time-series correlation
摘要
Abstract
With the surge in unstructured video data within film and television production,efficiently and accurately extract-ing footage of specific characters from complex scenes has become a major challenge in post-production.Traditional identi-fication methods often fail when confronted with special effects makeup,drastic lighting changes,and frequent montage-style editing,resulting in fragmented character trajectories.This study proposes a character identity tracking algorithm that integrates an improved MobileFaceNet with temporal correlation logic.By embedding a convolutional block attention mechanism into a lightweight MobileFaceNet network,the model's feature discrimination capability is enhanced under com-plex makeup conditions.Simultaneously,the study improves a cascaded matching strategy that incorporates motion predic-tion and appearance feature similarity,and analyzes montage editing to design an identity re-identification method based on a global feature library,effectively addressing the problem of trajectory fragmentation.Experiments on a self-built film and television video dataset show that the proposed method achieves a multi-target tracking accuracy of 78.9%and an overall identity score of 78.8%.Notably,the model significantly reduces errors caused by frequent identity switching while maintaining a fast inference speed,thereby meeting the high-precision and real-time requirements of the film and television industry for material indexing.关键词
影视人物追踪/MobileFaceNet/注意力机制/身份重识别Key words
Film and Television Character Tracking/MobileFaceNet/Attention Mechanism/Identity Re-Identification分类
社会科学引用本文复制引用
徐敏,张珍奇,夏天..融合改进MobileFaceNet与时序关联的影视人物身份追踪算法[J].现代电影技术,2026,(4):55-63,9.基金项目
上海市教委青年教师资助计划"《大模型应用技术专业导论》课程思政探索与实践研究"(A01GY25F012). （A01GY25F012）
