SALSA: A Novel Dataset for Multimodal Group Behavior Analysis

@article{AlamedaPineda2016SALSAAN,
  title={SALSA: A Novel Dataset for Multimodal Group Behavior Analysis},
  author={Xavier Alameda-Pineda and Jacopo Staiano and S. Ramanathan and L. Batrinca and E. Ricci and B. Lepri and O. Lanz and N. Sebe},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2016},
  volume={38},
  pages={1707-1720}
}
  • Xavier Alameda-Pineda, Jacopo Staiano, +5 authors N. Sebe
  • Published 2016
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Studying free-standing conversational groups (FCGs) in unstructured social settings (e.g., cocktail party) is gratifying due to the wealth of information available at the group (mining social networks) and individual (recognizing native behavioral and personality traits) levels. However, analyzing social scenes involving FCGs is also highly challenging due to the difficulty in extracting behavioral cues such as target locations, their speaking activity and head/body pose due to crowdedness and… CONTINUE READING
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