Detecting Events and Key Actors in Multi-person Videos

@article{Ramanathan2016DetectingEA,
  title={Detecting Events and Key Actors in Multi-person Videos},
  author={Vignesh Ramanathan and Jonathan Huang and Sami Abu-El-Haija and Alexander N. Gorban and Kevin P. Murphy and Li Fei-Fei},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={3043-3053}
}
Multi-person event recognition is a challenging task, often with many people active in the scene but only a small subset contributing to an actual event. In this paper, we propose a model which learns to detect events in such videos while automatically "attending" to the people responsible for the event. Our model does not use explicit annotations regarding who or where those people are during training and testing. In particular, we track people in videos and use a recurrent neural network (RNN… 

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