Identification of people using multiple skeleton recording devices

US9208376B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Kingshuk Chakravarty · Sherghati, IN
• Aniruddha Sinha · Narayanpur, IN
• Diptesh Das · Narayanpur, IN
• Rohan Banerjee · Sherghati, IN
• Amit Konar · Sherghati, IN
• Sudeepto Dutta · Kohima, IN

Key dates

• Filing date: May 16, 2014
• Grant date: Dec 8, 2015
• Expiry date: May 16, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V10/34
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Method(s) and system(s) for identification of an unknown person are disclosed. The method includes receiving skeleton data comprises data of multiple skeleton joints of the unknown person from skeleton recording devices. The method further includes extracting G gait feature vectors from the skeleton data. Further, the method includes classifying each gait feature vector into one of N classes based on a training dataset for N known persons and computing a classification score for each class. The method also includes clustering the training dataset into M clusters based on M predefined characteristic attributes of the known persons, tagging each gait feature vector with one of the M clusters based on a distance between a respective gait feature vector and cluster centers of M clusters, and determining a clustering score for each M cluster. The method further includes identifying the unknown person based on clustering scores and classification scores.