Person tracking and privacy and acceleration of data using autonomous machines

US10303953B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Mayuresh M. Varerkar · Folsom, US
• Barnan Das · Santa Clara, US
• Narayan Biswal · Folsom, US
• Stanley J. Baran · Elk Grove, US
• Gokcen Cilingir · San Jose, US
• Nilesh V. Shah · Folsom, US
• Archie Sharma · Folsom, US
• Sherine Abdelhak · Beaverton, US
• Sachin Godse · Portland, US
• Farshad Akhbari · Chandler, US
• Narayan Srinivasa · Thousand Oaks, US
• Altug Koker · Cameron Park, US
• Nadathur Rajagopalan Satish · Santa Clara, US
• Dukhwan Kim · Mountain View, US
• Feng Chen · Shanghai, CN
• Abhishek R. Appu · Cameron Park, US
• Joydeep Ray · Folsom, US
• Ping T. Tang · Edison, US
• Michael S. Strickland · Sunnyvale, US
• Xiaoming Chen · Xi'an, CN
• Anbang Yao · Beijing, CN
• Tatiana Shpeisman · Menlo Park, US
• Vasanth Ranganathan · Cameron Park, US
• Sanjeev Jahagirdar · Folsom, US

Key dates

• Filing date: Apr 17, 2017
• Grant date: May 28, 2019
• Expiry date: Apr 17, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06V20/44
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.