Human Action Recognition through the First-Person Point of view, Case Study Two Basic Task
Mohammad Almasi, Hamed Fathi, Sayed Adel, Samaneh Samiee · International Journal of Computer Applications · 2019
In this study, a human motion dataset is built and developed based on indoors and outdoors actions through a bounded-onhead camera and Xsens for tracking the motions.The key point here to structuring the dataset is utilized to set the sequence of a Deep Neural Network and order an arrangement of frames in the performed task (washing, eating, etc.).As a final point, a 3D modeling of the person suggested at every frame centered with the comparable structure of the first network.More than 120,000 frames constructed the dataset, taken from 7 different people, each one acting out different tasks in diverse indoor and outdoor scenarios.The sequences of every video frame were 3D synchronized and segmented 23 parts.