Computer Vision – CSCCI935/CSCCI435 Assignment 3

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Design a C/C++ program that extracts moving objects from video using OpenCV library
(Version 3.0 or higher).
Tasks
Extraction of moving objects from a sequence of images or video is often used in many video
analysis tasks. For instance, it is a key component in intelligent video surveillance systems.
In this assignment, you are required to develop a program in C/C++ using OpenCV (v3.0 or
higher) to detect, separate and label all moving objects from a given sequence of images or
video which has been captured by a stationary camera.
There are three key steps involved in the extraction of moving objects from video captured
by a stationary camera:
1. Detection of moving pixels using background modelling and subtraction;
2. Removal of noisy detection using morphological operators or majority voting and;
3. Labelling of separate moving objects using connected component analysis.
OpenCV 3.0 provides various algorithms for each of steps 1 & 2. However, you may have
to implement your own connected component analysis algorithm. For simplicity, you may
assume that each connected component forms one object. The program should display the
original video frames; detected moving pixels after the background modeling and subtraction;
the moving pixels after morphological operations or majority voting and; the detected moving
objects in a single window as illustrated below (see Table 1). The detected object has to be
colour-coded, that is, objects (i.e. connected components) are displayed in different colours.
You also need to produce a one-page report (my-login-name-report.pdf) that describes
your implementation of each step, choice of the algorithms at each step and how the parameters
for the chosen algorithms are set.
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Original Video Frame Detected Moving Pixels
Moving pixels after filtering Detected object (colour-coded)
Table 1: Organization of output window
Requirements on coding
1. The program should be named as mvDetection and shall take an image file as the input
video, e.g. mvDetection videofile.
2. You may develop your code using Visual Studio. You need to submit the source code
EXCLUDING all binary files. The submitted code must be able to compile using any
standard-compliant C++ compiler.
3. No other third-party libraries should be used in the program except OpenCV 3.0 (or
higher). The code has to be in C/C++.
Submission
You are required to create a folder (suitably named: my-login-name) in which you place
your source code and one-page report. Compress the folder using zip or rar and name it
my-login-name.zip(.rar). On the Moodle site for the subject you will find Assignment-3
submission drop box.
Marking Scheme
1. Zero marks may be awarded if your code cannot be compiled on a standard-compliant
C++ compiler.
2. Program structure, comments and usability (2%)
3. Read and display of the video image (3%)
4. Background modeling, subtraction and display of the detected moving pixels (5%)
5. Filtering of the detected moving pixels and display of the result (5%)
6. Connected component analysis and display of the color-coded objects (3%)
7. Report (2%)
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References
1. Robert Laganiere, “OpenCV 2 Computer Vision: Application Programming Cookbook”,
2nd Edition, Chapter 6, 11.
2. Gary Bradski and Adrian Kaehler, “Learning OpenCV”, Chapter 9.
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