这是一个用于排球视频动作识别的数据集。该数据集有从 55 个视频里挑选出的 4,830 个标注帧，有 9 个球员动作标签和 8 个团队活动标签。其中 3,493 个视频帧用于训练，其余的 1,337 个视频帧用于测试。 该数据集和 Collective Activity 数据集用于评估 LSTM 模型，该模型可用于团体活动的动作识别。

Citation

@inproceedings{msibrahiCVPR16deepactivity, author = {Mostafa S. Ibrahim and Srikanth Muralidharan and Zhiwei Deng and Arash Vahdat and Greg Mori}, title = {A Hierarchical Deep Temporal Model for Group Activity Recognition.}, booktitle = {2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016} } @inproceedings{msibrahiPAMI16deepactivity, author = {Mostafa S. Ibrahim and Srikanth Muralidharan and Zhiwei Deng and Arash Vahdat and Greg Mori}, title = {Hierarchical Deep Temporal Models for Group Activity Recognition.}, journal = {arXiv preprint arXiv:1607.02643}, year = {2016} }