Method and system for detecting actions in videos using contour sequences
US10210391B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 7, 2017 |
| Grant date | Feb 19, 2019 |
| Priority date | — |
| Expiry date | Aug 7, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20021
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for detecting actions of an object in a scene from a video of the scene. The video is a video sequence partitioned into chunks, and each chunk includes consecutive video frames. The method including the following elements. Acquiring the video of the scene, wherein the video includes a sequence of images. Tracking the object in the video, and for each object and each chunk of the video, further comprising: determining a sequence of contour images from video frames of the video sequence to represent motion data within a bounding box located around the object. Using the bounding box to produce cropped contour images and cropped images for one or more images in each chunk. Passing the cropped contour images and the cropped images to a recurrent neural network (RNN) that outputs a relative score for each action of interest.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.