Meta platforms technologies, llc (20240193791). TECHNIQUES FOR ACCELERATING OPTICAL FLOW COMPUTATIONS simplified abstract
Contents
TECHNIQUES FOR ACCELERATING OPTICAL FLOW COMPUTATIONS
Organization Name
meta platforms technologies, llc
Inventor(s)
Andrey Tovchigrechko of SARATOGA CA (US)
David Vakrat of Kfar Saba (IL)
Olivier Francois Joseph Harel of Mountain View CA (US)
TECHNIQUES FOR ACCELERATING OPTICAL FLOW COMPUTATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240193791 titled 'TECHNIQUES FOR ACCELERATING OPTICAL FLOW COMPUTATIONS
The patent application describes a method for generating optical flow for a series of image frames by performing raster scans of pixel patches, estimating optical flow between frames, propagating flow estimates to neighboring pixels, and identifying offsets based on these estimates.
- Initialization process involves parallel raster scans of pixel patches in successive image frames.
- Propagation process uses optical flow estimates to propagate flow for neighboring pixels.
- Search process identifies offsets based on optical flow estimates for neighboring pixels.
Potential Applications: - Motion tracking in video analysis - Object recognition in computer vision systems - Autonomous navigation for drones and robots
Problems Solved: - Accurately tracking motion between frames - Improving object recognition in dynamic scenes - Enhancing navigation capabilities in autonomous systems
Benefits: - Real-time motion estimation - Enhanced object tracking accuracy - Improved performance of computer vision algorithms
Commercial Applications: Title: "Advanced Motion Tracking Technology for Video Analysis and Autonomous Systems" This technology can be utilized in industries such as: - Surveillance and security - Automotive and transportation - Augmented reality and virtual reality development
Prior Art: Readers can explore prior research in the fields of computer vision, image processing, and optical flow algorithms to understand the evolution of similar technologies.
Frequently Updated Research: Stay updated on advancements in optical flow algorithms, motion estimation techniques, and computer vision applications to leverage the latest innovations in this field.
Questions about Optical Flow Technology: 1. How does optical flow technology improve object tracking in video analysis? 2. What are the key challenges in implementing optical flow algorithms for real-time applications?
Original Abstract Submitted
a method for generating an optical flow for a plurality of successive image frames includes executing an initialization process by performing a plurality of raster scans of a patch of pixels in one or more of the plurality of successive image frames in parallel. the plurality of raster scans of the patch of pixels includes a plurality of optical flow estimates between the plurality of successive image frames. the method includes executing a propagation process based on the plurality of optical flow estimates between the plurality of successive image frames. executing the propagation process includes propagating the plurality of optical flow estimates for one or more neighboring pixels associated with the patch of pixels. the method includes executing a search process by identifying one or more offsets based on the plurality of optical flow estimates for the one or more neighboring pixels associated with the patch of pixels.
