Supplementary Material: Online Real-time Multiple Spatiotemporal Action Localisation and Prediction
نویسندگان
چکیده
Training data preparation. We used all the training video frames from J-HMDB-21 dataset to train both appearanceand flow-based SSD networks. As UCF10124 has larger training set, we used every 4-th frame from each training video along with their associated ground-truth labels and bounding boxes. Frames that do not contain any human action annotation (background frames) were not used in training. Using those video frames (background frames) and modifying the cost function of SSD could further lead to improvement in temporal localisation of actions.
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