Classification-of-CCTV-Data

PD Lab Group 5, 5th Sem, Autumn 2017

This project was done for PD Lab by:

1. Soumya Sambit Rath, 715EC2020
2. Rohan Acharya, 715EC2017
3. Subha Ranjan Sahu, 715EC2069
4. Aditya Kumar Prusty, 115EI0606
5. Soumya Ranjan Mishra, 715EC2043
6. Deeksha Chaudhury, 715EC2066
7. Nishant Nishiket, 715EC2068
8. SVS Sai Kiran Reddy, 715EC2127

under the guidance of Prof Santos Kumar Das, Department of Electronics and Communication Engineering, NIT Rourkela, India

Modules implemented in the project are:

1. Motion Detection (using dynamic background subtraction)
2. Theft Detection (using static background subtraction)
3. Pedestrian Detection (using HOG algorithm)
4. Vehicle Detection (using haar cascade algorithm)
5. Centroid Detection of moving vehicles (using haar cascade algorithm)

Installing the pre-requisites:

install_guide.sh contains all the bash commands to install the packages and configure the system. It has been tested on Ubuntu 16.04

I) Python

Modules that are used are:

1. Numpy 1.13.0
2. PySerial 3.3
3. imutils 0.4.3

II) OpenCV

Version 3.2.0

III) Arduino

Version 1.x

Running the code

All the .py files must be kept inside a single folder

run app.py to open the GUI window

click on the buttons to run different modules