Patent · US Active

Systems and methods for determining actions performed by objects within images

US11151412B2 · kind B2 · utility

0Cited by
8References
15Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJul 1, 2019
Grant dateOct 19, 2021
Priority date
Expiry dateJan 21, 2040

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06V40/20
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A system for determining an action performed within an input image includes a memory to store one or more instructions, and a processor communicatively coupled to the memory, and configured to execute the one or more instructions in the memory. The processor employs a convolutional neural network (CNN) that includes a predefined number of initial stages for extracting one or more significant features corresponding to the input image, wherein each initial stage includes a first layer, and a residual block, and wherein the first layer is selected from a group consisting of a convolution layer, a max pooling layer, and an average pooling layer. The CNN includes a final stage for classifying the extracted significant features into one or more predefined classes, wherein the final stage is formed of a global average pooling layer, and a dense layer.

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