Skip to content

The goal of the project is to identify a person-of-interest based on specific set of soft biometric attributes from a surveillance video. The project will integrate and minimize semantic gap between human descriptions and soft biometric traits. Moreover this project aims at extracting soft biometric features from an input image or a video frame …

Notifications You must be signed in to change notification settings

prince-makwana/Real-Time-Person-Identification-Using-GAIT-Energy

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Real-Time-Person-Identification-Using-GAIT-Energy

The goal of the project is to identify a person-of-interest based on specific set of soft biometric attributes from a surveillance video. The project will integrate and minimize semantic gap between human descriptions and soft biometric traits. Moreover this project aims at extracting soft biometric features from an input image or a video frame and then uses these features to identify the person. This project will add another dimension to surveillance as human cognitive perceptions are used while searching the video streams.

About

The goal of the project is to identify a person-of-interest based on specific set of soft biometric attributes from a surveillance video. The project will integrate and minimize semantic gap between human descriptions and soft biometric traits. Moreover this project aims at extracting soft biometric features from an input image or a video frame …

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages