Tag Archives: Tracker


Hello Friends,

While researching about various trackers in my hexapod project I came across a very simple python code that was tracking on the basis of movements. But it was based on old Matlab API. So I wanted to implement it in OpenCV. Tracking any object in a video is a very important part in the field of Robotics. For eg. suppose you want to track moving vehicles at traffic signals(Project Transpose,IIM Ahmedabad), track moving obstacles for an autonomous robot( Project Hexapod,Bits Pilani KK Birla Goa Campus), finding life existence in unmanned areas, etc.

You can download the code from here: https://github.com/abhi-kumar/OPENCV_MISC/blob/master/track_motion.cpp

Lets go through the major snippets of the code.

#include <stdio.h>
#include <cv.h>
#include <highgui.h>

These are the libraries for the old C based OpenCV modules

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/video/tracking.hpp"

These are the libraries for the new C++ based OpenCV modules

#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>
#include <time.h>

The standard C++ libraries

float MHI_DURATION = 0.05;                
float MAX_TIME_DELTA = 12500.0;
float MIN_TIME_DELTA = 5;
int visual_trackbar = 2;

These are the parameters to be used in the tracking function. Please note that they may change according to the type of camera being used.
1.Timestamp– Current time in milliseconds or other units.
2.MHI_DURATION-Maximal duration of the motion track in the same units as timestamp
3.DELTA_TIME-Minimal (or maximal) allowed difference between mhi values within a pixel neighborhood.

calcMotionGradient(motion_history, mg_mask, mg_orient, 5, 12500.0, 3);
segmentMotion(motion_history, seg_mask, seg_bounds, timestamp, 32);

To understand these three major lines you must go through these links
1. http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#updatemotionhistory

2. http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#calcmotiongradient

3. http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#segmentmotion

Now the compilation and running the application in ubuntu
1.Download the code
2.Open a terminal an traverse to the folder containing the code
(Assuming you named the code file as “track_motion.cpp”)
a)chmod +x track_motion.cpp
b)g++ -ggdb `pkg-config –cflags opencv` -o `basename track_motion.cpp .cpp` track_motion.cpp `pkg-config –libs opencv`

The default trackbar will be set to binary view, any motion detected will be tracked in white color. Changing the trackbar position to number “1” will provide a grayscale view and in the same way number “0” is RGB and number “3” is in HSV.

Here is a demo video link to get an overview of the different views of the application:

I hope you benefit from this code.

Thank you 🙂



Hello Friends,

Till today I was working with OpenCV on ubuntu platform. But we should also have knowledge about using the OpenCV libraries with Visual studio in Windows. Here I will be explaining how to integrate OpenCV with Windows 32-bit and 64-bit versions.


Download OpenCV from here: http://opencv.org/downloads.html

Double click on the downloaded exe file and when it is is being extracted select the folder name as “opencv” and extract it in your C drive.


Now we need to add the path of the extracted libraries to Environment variables.
Go to “Control Panel” >> “System and Security” >> “System” and click on “advanced system properties” and a window will appear(the one inside the red rectangle):
Screenshot (18)

Now click on the “environment variable”, in the “system variables” select “Path” and edit it by adding these lines to it:
64-Bit users

32-Bit users

Assuming that you are using Visual Studio 2010
You are basically adding path to bin in the environment variables, so make sure the path is correct and make appropriate changes if necessary.

Click on “OK” in every window that has been opened to make the changes.

Open Visual studio 2010 and create a new visual c++ win32 console application project. Name it something and create it.

Now in that select the “View” menu and click on “Property Manager”.

Only for 64-Bit version users.

Select the “Project” Menu and click on “Properties”.
Screenshot (19)

Click on the “Configuration Manager”
Select the “Active Solution Configuration” as “Release”
Select the “Active Solution Platform” and click on “”
Screenshot (20)

And in that Select the new platform as “X64”, click on “ok” and close the configuration manager.

Now in the properties window,
Select the “Configuration Properties” >> “C/C++” >> “General” and in that edit the “Additional Include libraries” by adding these two lines to it:
Screenshot (21)

Here we are adding path to include folders,make sure the path is correct as per your computer.

Select the “Configuration Properties” >> “C/C++” >> “Preprocessor” and in that select the “Preprocessor definition”,edit it by adding this to it :

Now in the properties window,
Select the “Configuration Properties” >> “Linker” >> “General” and select and edit the “Additional Library Directories”
Screenshot (22)

64-Bit version users add this line to it:

32-Bit version users add this line to it:

Make sure the path to lib is correct as per your settings.

Select the “Configuration Properties” >> “Linker” >> “Input” and click on “Additional dependencies” and edit it:
Screenshot (23)


Note: In …..246.lib,246 is the version of opencv,for me its OpenCV-2.4.6 ,So make appropriate changes according to the version you have downloaded.

Click on “apply” and “ok”

Now in the code DELETE everything and copy the test code from here: https://github.com/abhi-kumar/OPENCV_MISC/blob/master/tracker.cpp
Note:on the top of the code add this line: #include “stdafx.h”

Keep the mode as release and run it:
Screenshot (24)

Get the details of the code from : https://abhishek4273.wordpress.com/2014/07/05/track-the-region-of-interest/

So, now you have integrated OpenCV with Windows Visual Studio

Thanks 🙂