A Deep Learning Based Real-time Pedestrian Recognition System

This research project aims to develop an automated recognition system to understand the behavior of pedestrians in public videos. Such behavior prediction is helpful in a wide variety of security applications, such as loss prevention, missing people identification, etc. A deep learning-based detection framework and customized feature identification algorithms are combined to address this technical challenge. Our system is scalable to a large number of video feeds.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Sun, Tao

Advisor dc:contributor.advisor

• Stonebraker, Michael

Statement dc:rights

• In Copyright - Educational Use Permitted
• Copyright MIT

Licence dc:rights.uri

• http://rightsstatements.org/page/InC-EDU/1.0/

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/139317

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/139317