期刊
出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/2993148.2997638
关键词
Audio-video data corpus; Emotion recognition; Group-level emotion recognition; Facial expression challenge; Affect analysis in the wild
This paper discusses the baseline for the Emotion Recognition in the Wild (EmotiW) 2016 challenge. Continuing on the theme of automatic affect recognition 'in the wild', the EmotiW challenge 2016 consists of two sub-challenges: an audio-video based emotion and a new group-based emotion recognition sub-challenges. The audio-video based subchallenge is based on the Acted Facial Expressions in the Wild (AFEW) database. The group-based emotion recognition sub-challenge is based on the Happy People Images (HAPPEI) database. We describe the data, baseline method, challenge protocols and the challenge results. A total of 22 and 7 teams participated in the audio-video based emotion and group-based emotion sub-challenges, respectively.
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