A Deep Learning Based Real-time Pedestrian
Recognition System
Name
sun-taosun-sm-sdm-2021-thesis.pdf
Description
Thesis PDF
Size
7.09 MB
Format
Adobe PDF
Checksum (MD5)
1b845ed933d4af36579b985be542f8a8
Author(s)
Sun, Tao
Advisor(s)
Stonebraker, Michael
Date Issued
June 2021
Publisher
Massachusetts Institute of Technology
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
System Design and Management Program.
Terms of Use
In Copyright - Educational Use Permitted
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