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.

Machine learningNatural languageVisionKnowledge representationAI hardwareG06N 20/00G06F 18/21G06N 3/08G06N 20/10G06V 20/40G06V 20/42G06V 20/47G06V 40/103+2 more

AI classification

Vision1.00
Machine learning1.00
Knowledge representation1.00
AI hardware0.97
Natural language0.79
Planning0.11
Evolutionary computation0.00
Speech0.00

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.

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