Skip to content

Identifying Human objects from set of frames using frame differencing, connecting components, thresholding, and bounding boxes.

Notifications You must be signed in to change notification settings

Siddharth1410/Human-identification-Image-sequences

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Human-identification-Image-sequences

Identifying Human objects from set of frames using frame differencing, connecting components, thresholding, and bounding boxes.

Test File

Juptyer Notebook - test.ipynb

Code Structure

find_bounding_box :

This function uses frame differencing, thresholding, connecting components and bounding boxes to create a bounding box around the human object

person_present :

This function checks if a person is present in the frame or not.

person_speed :

This function calculates the speed of the person and returns 2D numpy array.

Running Instructions

import assignment1.py as ap
ap.FUNCTION_NAME(ARGUMENTS)

or

juptyer test.ipynb

Example

alt text

About

Identifying Human objects from set of frames using frame differencing, connecting components, thresholding, and bounding boxes.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published