Vision-Based Human Activity Recognition Using LDCRFs

flow is proposed. The first phase of this approach is to employ the modelling background that uses an adaptive Gaussian

#Action recognition # Invariant elliptic fourier # Invariant zernike moments # latent-dynamic conditional random fields

Space-time Templates based Features for Patient Activity Recognition

Muhammad Adeel Abbas1, Fiza Murtaza2,3, Muhammad Obaid Ullah1, and Muhammad Haroon Yousaf2 1University of Engineering and Technology, Department of Electrical Engineering, Pakistan 2University of Engineering and Technology, Department of Computer Engineering, Pakistan 3Sino-Pak Center for Artificial Intelligence (SPCAI), PAF-IAST, Pakistan

#Human activity recognition # motion templates # patient monitoring # LDA

A Novel Recurrent Neural Networks Architecture for Behavior Analysis

Neziha Jaouedi,Noureddine Boujnah,Mohamed Bouhlel

#Deep learning #recurrent neural networks #gated recurrent unit #video classification #convolutional neural network #behavior modelling #activity recognition

Human Activity Recognition Based on Transfer

Learning with Spatio-Temporal Representations

#Deep learning # tuning # VGG-16 # action recognition