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

Claim 0:
1. A deep learning based system for learning human activities from video demonstrations using video augmentation, the deep learning based system comprising:
one or more hardware processors; and
a memory coupled to the one or more hardware processors, wherein the memory comprises a plurality of subsystems in the form of programmable instructions executable by the one or more hardware processors, wherein the plurality of subsystem comprises:
a receiver subsystem configured for receiving one or more original videos from one or more data sources, wherein the one or more original videos comprises one or more human activities;
a video augmentation subsystem configured for processing 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;
a training video generator subsystem configured for generating a set of training videos by combining the received one or more original videos with the generated set of augmented videos;
a deep learning model generator subsystem configured for generating a deep learning model for the received one or more original videos based on the generated set of training videos;
a learning subsystem configured for learning the one or more human activities performed in the received one or more original videos by deploying the generated deep learning model; and
an output subsystem configured for outputting the learnt one or more human activities performed in the received one or more original videos on a user interface.