Patent ID: 11941080
Assignee: RETROCAUSAL, INC.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 11:
12. A method for learning human activities from video demonstrations using video augmentation, the method comprising:
receiving, ley a processor, one or more original videos from one or more data sources, wherein the one or more original videos comprises one or more human activities;
processing, by the processor, the received one or more original videos using one or more video augmentation techniques to generate a set of augmented videos, wherein the one or more video augmentation techniques comprises: performing one or more image transformation configurations, foreground synthesis, background synthesis, speed variation, motion variation, viewpoint variation, segment editing, and obfuscation rendering;
generating, by the processor, a set of training videos by combining the received one or more original videos with the generated set of augmented videos;
generating, by the processor, a deep learning model for the received one or more original videos based on the generated set of training videos;
learning, by the processor, the one or more human activities performed in the received one or more original videos by deploying the generated deep learning model; and
outputting, by the processor, the learnt one or more human activities performed in the received one or more original videos on a user interface.