Developed and implemented a Hierarchical Deep Temporal Model for Group Activity Recognition,
based on the CVPR 2016 paper. Achieved 93% accuracy using a two-stage LSTM architecture to recognize
multi-person activities. Conducted ablation studies to evaluate the contributions of various model components
and compared performance against 8 baseline models.
