SYSTEM AND METHOD OF LEARNING POSE RECOGNIZING BASED ON DISTRIBUTED LEARNING ARCHITECTURE

摘要

PURPOSE: A posture recognizer learning system based on a dispersed learning structure and a method thereof are provided to minimize memory usage, thereby reducing learning time. CONSTITUTION: A posture recognizer learning system (110) includes an input unit (120), posture recognizer learning devices (130), and a learning data extracting unit (110). The input unit inputs learning data. The posture recognizer learning devices receive a plurality of data sets constituting learning data, and learn each posture recognizer. The posture recognizer learning devices share the learning data of each step using a distributed/parallel framework. The learning data extracting unit extracts a plurality of learning data from a plurality of image data. [Reference numerals] (100) Posture recognizer learning system; (110) Learning data extraction unit; (120) Input unit; (130) Posture recognizer learning devices