Recognizing person interactions

Topic: With the amount of videos growing rapidly, there exists a clear need for automatic video indexing. Many existing methods rely on low-level video content descriptors [4], which allow to index video categories, but do not analyze human actions in details. Detailed analysis of actions is necessary if we want to understand how people interact with the world, for example what objects define an action [3]. Here, we will focus on interactions between people, relevant for example when analyzing the behavioral development of young children [1] or human interactions in TV shows [2].

[1]  Cordelia Schmid,et al.  Explicit Modeling of Human-Object Interactions in Realistic Videos , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Yi Yang,et al.  Articulated Human Detection with Flexible Mixtures of Parts , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  James M. Rehg,et al.  Decoding Children's Social Behavior , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[4]  Ian D. Reid,et al.  Structured Learning of Human Interactions in TV Shows , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[5]  Cordelia Schmid,et al.  Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.