five

MPEblink2.0

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DataCite Commons2024-12-11 更新2025-04-16 收录
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https://ieee-dataport.org/documents/mpeblink20
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资源简介:
Real-time eyeblink detection in unconstrained scenarios can widely serve for applications including fatigue detection, face anti-spoofing, emotion analysis, etc. Existing research efforts mainly focus on single-person cases in trimmed video. However, detecting eyeblinks in multi-person scenarios within untrimmed videos is also crucial for real-world applications but has not been well addressed yet, with key challenges including consistent multi-instance awareness and precise instance-level eyeblink detection in long videos. To fill this gap, we construct a large-scale dataset termed MPEblink that involves 891 untrimmed videos with 12,456 eyeblink events is proposed under multi-person conditions. Details and other contributions on methodology and experiments can be found in our research paper.
提供机构:
IEEE DataPort
创建时间:
2024-12-11
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