REAL-TIME SINGLE-VIEW ACTION RECOGNITION BASED ON KEY POSE ANALYSIS FOR SPORTS VIDEOS
Patent №
US 9,600,717
Granted
2017-03-21
Filed 2016
Owner
ZEPP LABS, INC.
Lab
—
AI components
5
ml · nlp · vision · kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
15053773
A system is provided for real-time single-view action recognition for sports videos based on key pose analysis of the sports videos. A training module of the system trains feature models for a sports action distinctively associated with each sports type using a large corpus of training videos. The trained feature models include a player detector for detecting locations of a player in video frames of a training video, a set of key pose identifiers for identifying distinctive poses of a sports action associated with a type of sports, and a meta classifier for determining a likelihood that the sports action has happened in a sports video based on the key poses analysis. Responsive to an input sports video being received for real-time action recognition, a set of trained feature models associated with the sports type of the input video are selected and applied to the input video.
AI classification
Ownership
ZEPP LABS, INC.
assignment · 378440297
Assignors
DAI, XIAOWEI, LIU, JIANGYU, HAN, ZHENG, LIU, ZEYU
On an employer assignment, the assignors are typically the inventors.