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Volumn 660, Issue , 2017, Pages 321-342

Automatic human emotion recognition in surveillance video

Author keywords

Dynamic time wrapping; Emotion recognition; Na ve bayes; Object detection; Support vector machines

Indexed keywords


EID: 84992109127     PISSN: 1860949X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-44790-2_15     Document Type: Article
Times cited : (47)

References (29)
  • 3
    • 34547349944 scopus 로고    scopus 로고
    • Video scene retrieval with interactive genetic algorithm
    • Yoo H-W, Cho S-B (2007) Video scene retrieval with interactive genetic algorithm. Multimed Tools Appl 34(3):317–336
    • (2007) Multimed Tools Appl , vol.34 , Issue.3 , pp. 317-336
    • Yoo, H.-W.1    Cho, S.-B.2
  • 4
    • 85063846760 scopus 로고    scopus 로고
    • A review on video-based human activity recognition
    • Ke S-R (2013) A review on video-based human activity recognition. Computers 2(2):88–131
    • (2013) Computers , vol.2 , Issue.2 , pp. 88-131
    • Ke, S.-R.1
  • 5
    • 84921999718 scopus 로고    scopus 로고
    • Features and classifiers for emotion recognition from speech: A survey from 2000 to 2011
    • Anagnostopoulos C-N, Iliou T, Giannoukos I (2015) Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011. Artif Intell Rev 43(2):155–177
    • (2015) Artif Intell Rev , vol.43 , Issue.2 , pp. 155-177
    • Anagnostopoulos, C.-N.1    Iliou, T.2    Giannoukos, I.3
  • 6
    • 84930820841 scopus 로고    scopus 로고
    • Recognition of emotions from video using acoustic and facial features
    • Rao KS, Koolagudi SG (2015) Recognition of emotions from video using acoustic and facial features. SIViP 9(5):1029–1045
    • (2015) Sivip , vol.9 , Issue.5 , pp. 1029-1045
    • Rao, K.S.1    Koolagudi, S.G.2
  • 8
    • 34547951152 scopus 로고    scopus 로고
    • Bi-modal emotion recognition from expressive face and body gestures
    • Gunes H, Piccardi M (2007) Bi-modal emotion recognition from expressive face and body gestures. J Netw Comput Appl 30(4):1334–1345
    • (2007) J Netw Comput Appl , vol.30 , Issue.4 , pp. 1334-1345
    • Gunes, H.1    Piccardi, M.2
  • 9
    • 49949087271 scopus 로고    scopus 로고
    • Modeling naturalistic affective states via facial, vocal, and bodily expressions recognition
    • Springer, Berlin
    • Karpouzis K et al (2007) Modeling naturalistic affective states via facial, vocal, and bodily expressions recognition. Artifical intelligence for human computing. Springer, Berlin, pp 91–112
    • (2007) Artifical Intelligence for Human Computing , pp. 91-112
    • Karpouzis, K.1
  • 10
    • 77958463945 scopus 로고    scopus 로고
    • Methodology for assessing bodily expression of emotion
    • Gross MM, Crane EA, Fredrickson BL (2010) Methodology for assessing bodily expression of emotion. J Nonverbal Behav 34(4):223–248
    • (2010) J Nonverbal Behav , vol.34 , Issue.4 , pp. 223-248
    • Gross, M.M.1    Crane, E.A.2    Fredrickson, B.L.3
  • 11
    • 84992162875 scopus 로고    scopus 로고
    • A review on human actions recognition using vision based techniques
    • Hassan M et al (2014) A review on human actions recognition using vision based techniques. J Image Graph 2(1):28–32
    • (2014) J Image Graph , vol.2 , Issue.1 , pp. 28-32
    • Hassan, M.1
  • 12
    • 77949298130 scopus 로고    scopus 로고
    • Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis
    • Kessous L, Castellano G, Caridakis G (2010) Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis. J Multimodal User Interfaces 3(1-2):33–48
    • (2010) J Multimodal User Interfaces , vol.3 , Issue.1-2 , pp. 33-48
    • Kessous, L.1    Castellano, G.2    Caridakis, G.3
  • 15
    • 33646817105 scopus 로고    scopus 로고
    • Gesture-based affective computing on motion capture data
    • Springer, Berlin
    • Kapur A (2005) Gesture-based affective computing on motion capture data. Affective computing and intelligent interaction. Springer, Berlin, pp 1–7
    • (2005) Affective Computing and Intelligent Interaction , pp. 1-7
    • Kapur, A.1
  • 16
    • 27944456214 scopus 로고    scopus 로고
    • Emotion analysis in man-machine interaction systems
    • Springer, Berlin
    • Balomenos Themis et al (2004) Emotion analysis in man-machine interaction systems. Machine learning for multimodal interaction. Springer, Berlin, pp 318–328
    • (2004) Machine Learning for Multimodal Interaction , pp. 318-328
    • Themis, B.1
  • 17
    • 0037872006 scopus 로고    scopus 로고
    • Recognizing emotion from dance movement: Comparison of spectator recognition and automated techniques
    • Camurri A, Lagerlöf I, Volpe G (2003) Recognizing emotion from dance movement: comparison of spectator recognition and automated techniques. Int J Hum Comput Stud 59 (1):213–225
    • (2003) Int J Hum Comput Stud , vol.59 , Issue.1 , pp. 213-225
    • Camurri, A.1    Lagerlöf, I.2    Volpe, G.3
  • 21
    • 84992056343 scopus 로고    scopus 로고
    • Emotions and information processing: A theoretical approach
    • Alvandi EO (2011) Emotions and information processing: a theoretical approach. Int J Synth Emot 2(1):1–14
    • (2011) Int J Synth Emot , vol.2 , Issue.1 , pp. 1-14
    • Alvandi, E.O.1
  • 23
    • 84973574141 scopus 로고    scopus 로고
    • A virtual reality study of help recognition and metacognition with an affective agent
    • Oker A et al (2015) A virtual reality study of help recognition and metacognition with an affective agent. Int J Synth Emot 6(1):60–73
    • (2015) Int J Synth Emot , vol.6 , Issue.1 , pp. 60-73
    • Oker, A.1
  • 25
    • 84942117055 scopus 로고    scopus 로고
    • A database of whole-body action videos for the study of action, emotion, and untrustworthiness
    • Keefe Bruce D et al (2014) A database of whole-body action videos for the study of action, emotion, and untrustworthiness. Behav Res Methods 46(4):1042–1051
    • (2014) Behav Res Methods , vol.46 , Issue.4 , pp. 1042-1051
    • Keefe Bruce, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.