Patent · US Active

System and method for forecasting location of target in monocular first person view

US11893751B2 · kind B2 · utility

1Cited by

1References

11Claims

0Family size

Assignee

Tata Consultancy Services Limited · IN

Inventors

Junaid Ansari · Aachen, DE
Brojeshwar Bhowmick · Sherghati, IN

Key dates

Filing date	Aug 18, 2021
Grant date	Feb 6, 2024
Priority date	—
Expiry date	Apr 28, 2042

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30241
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

This disclosure relates generally to system and method for forecasting location of target in monocular first person view. Conventional systems for location forecasting utilizes complex neural networks and hence are computationally intensive and requires high compute power. The disclosed system includes an efficient and light-weight RNN based network model for predicting motion of targets in first person monocular videos. The network model includes an auto-encoder in the encoding phase and a regularizing layer in the end helps us get better accuracy. The disclosed method relies entirely just on detection bounding boxes for prediction as well as training of the network model and is still capable of transferring zero-shot on a different dataset.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.