Bio-inspired probabilistic model for crowd emotion detection

M.W. Baig, E.I. Barakova, L. Marcenaro, C.S. Regazzoni, G.W.M. Rauterberg

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    8 Citations (Scopus)


    Detection of emotions of a crowd is a new research area, which has never, to our knowledge, been accounted for research in previous literature. A bio-inspired model for representation of emotional patterns in crowds has been demonstrated. Emotions have been defined as evolving patterns as part of a dynamic pattern of events. This model has been developed to detect emotions of a crowd based on the knowledge from a learned context, psychology and experience of people in crowd management. The emotions of multiple people making a crowd in any surveillance environment are estimated by sensors signals such as a camera and are being tracked and their behavior is modeled using bio-inspired dynamic model. The behavior changes correspond to changes in emotions. The proposed algorithm involves the probabilistic signal processing modelling techniques for analysis of different types of behavior, interaction detection and estimation of emotions. The emotions are recognized by the expectation of temporal occurrences of causal events modeled by Gaussian mixture model. The model has been evaluated using the simulated behavioral model of a crowd.
    Original languageEnglish
    Title of host publicationProceedings International Joint Conference on Neural Networks (IJCNN), 6-11 July, 2014, Beijing, China
    Place of PublicationPiscataway
    PublisherInstitute of Electrical and Electronics Engineers
    ISBN (Print)978-1-4799-1484-5
    Publication statusPublished - 2014
    Event2014 International Joint Conference on Neural Networks, IJCNN 2014 - Beijing International Convention Center, Beijing, China
    Duration: 6 Jul 201411 Jul 2014


    Conference2014 International Joint Conference on Neural Networks, IJCNN 2014
    Abbreviated titleIJCNN 2014
    OtherInternational Joint Conference on Neural Networks
    Internet address


    Dive into the research topics of 'Bio-inspired probabilistic model for crowd emotion detection'. Together they form a unique fingerprint.

    Cite this