Motion Emotion Dataset(MED)
Despite the huge research on crowd on behavior understanding in visual surveillance community, lack of publicly available realistic datasets for evaluating crowd behavioral interaction led not to have a fair common test bed for researchers to compare the strength of their methods in the real scenarios. This work presents a novel crowd dataset contains around 45,000 video clips which annotated by one of the five different fine-grained abnormal behavior categories. We also evaluated two state-of-the-art methods on our dataset, showing that our dataset can be effectively used as a benchmark for fine-grained abnormality detection. The details of the dataset and the results of the baseline methods are presented in the paper.
For downloading the MED dataset please run
med_get.sh script or directly download from here.
 "Novel Dataset for Fine-grained Abnormal Behavior Understanding in Crowd", Rabiee, HR and Haddadnia, J and Mousavi, H and Kalantarzadeh, M and Nabi, M and Murino, V, IEEE Advanced Video and Signal-based Surveillance (AVSS), 2016.
 "Emotion-Based Crowd Representation for Abnormality Detection", H Rabiee, J Haddadnia, H Mousavi, M Nabi, V Murino, N Sebe, arXiv preprint arXiv:1607.07646, 2016.