Object-Tracking-Project-Using-OpenCV-and-Python

Single and Multi object Tracking

OBJECT TRACKING

Object tracking is an application of computer vision where an object is detected in a video, otherwise interpreted as a set of frames, and the object’s trajectory is estimated.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Understanding Project Structure

objectTrackingOpencv
|-- InputFiles
    -- car_driving.mp4
    -- chaplin.mp4
    -- horse_riding.mp4 
    -- run.mp4
|-- SourceFolder
    -- CentroidTracking.py
    -- SingleObjectTracking.py
    -- MultiObjectTracking.py
|-- README.MD
 -- Engine.py
 -- requirements.txt

Prerequisites

• Python3.X

Installing

• To activate Virtual Environment

  • First install Virtual Environment for python3 using this command in your terminal
    pip install virtualenv

  • Create a new Virtual Env
    python3 -m venv task_env

  • In the current working directory i.e objectTrackingOpencv, activate the virtualenv
    source task_env/bin/activate

• run this command in command line to install needed dependencies
  pip install -r requirements.txt

NOTE

You can download the GOTURN caffemodel and prototxt files located at: https://github.com/spmallick/goturn-files

1. You need the goturn.caffemodel file and goturn protxtxt for running the goturn model - these must be downloaded from the above link and stored in the ML_Pipeline folder
2. You need the res10_300x300_ssd_iter_140000.caffemodel and deploy.prototxt file for executing the CentroidTracking.py file - these must be present in the ML_Pipeline folder.

For concatenating the goturn model;

1. git clone

2. on unix

cd goturn-files

cat goturn.caffemodel.zip* > goturn.caffemodel.zip

unzip goturn.caffemodel.zip

3. on windows

type goturn.caffemodel.zip* > goturn.caffemodel.zip

Extract the zip with any unzipping libra