You are to write a GUI Java application that will perform object recognition using Neural Networks. To do this you will be using a freeware Java package named JaNet (local copy)

You will work in teams of 3-4  and present the running program and the results to your classmates.   You will be given time in class to work on this project but, it will require time outside of class.

 

Data Capture - Input

 

Output

 

GUI

• User should be able to display both the input and resulting output image sequences.

 

Program Modes: Training and Testing

The user can select to run the program in one of 2 modes. The first is "background" mode and the second is "relative". You will have 2 different motion detection algorithms that are invoke for the 2 different operating modes respectivley.

 

Training mode

In this case, you will prompt the user to supply you a image of the scene with none of the moving objects in it...hence a kind of "background" image. You can use this image to help you with motion detection. On the jaNet web-site go here (local copy) for an example trainer.

Testing mode

In this case, you will not be provided with a "background" image and you must only use the image sequence given as input.

 

 

Implementation Details

You will select a supervisor from your group to monitor progress on the project. Everyone must partcipate in all phases of this projects. Also, EVERYONE must be able to understand and reproduce the code created if necessary. If you do not individually complete the portion of the work allocated to you as stipulated by the supervisor, you will not be given credit on that phase of the project AND this work must then be redistributed by the supervisor to the rest of the class.

Attendance throughout the class periods we will work on this project is CRITICAL and NECESSARY for credit on this project. ONLY absences excused by written doctor reports or other accepted excuses (see instructor) will be allowed and in this case a different individual project will be assigned to you.