… ensemble, after obtaining the prediction probabilities for each activity from each of the four …
value for the sum of predicted probabilities was chosen as the final prediction. In this approach…

… samples are correctly predicted for class i in the predicted … From our analysis, this is because
some behavioral categories in … In summary, our proposed IMG behavior recognition network …

… activities. Our goal is to render a multi class abnormal action detection in individuals as well
as in groups from video sequences to differentiate multiple abnormal human actions. In this …

… for human action description. In this work, we propose an original unified framework to learn
… The advantage we can profit from G 3 is that G 3 can handle either projection, translation, …

… can assist to solve the early action prediction task [258]. … , predicting future events, and
detecting anomalous behavior across … , “Human activity recognition based on smartphone and …

… , the performance of the completely automatic human action and suspicious object prediction
framework … Mahmood, "Improved gait recognition based on specialized deep convolutional …

Human Action Recognition (HAR) encompasses the task of monitoring human activities across
various domains, including but not limited to medical, educational, entertainment, visual …

… Action recognition based on 3D skeleton data allows … to have the final prediction of
actions. The overall workflow of … a unified framework for both single and multiple-view action …

… action recognition based on real unlabeled video via an action feature description operator
pose action … distance from X as the predicted class within the action fingerprint library. …

… and affective behavior analysis. Facial Expression Recognition. … Facial expression recognition
based on multi-head cross attention … units and a unified framework. arXiv preprint arXiv:…