WinFormWebCam Versions

Original Version was found @ http://easywebcam.codeplex.com/releases/view/37187

For all version

    OS compiled in: 	Windows 7 home premium (32bit)
    Coding Environment: Windows Visual Studio 2010 - C#

    Dll needed for all:

	From the Original Source code I downloaded and built off off
		Webcam_Capture.dll

        From AForge libraries 2.2.4	
		Documentation and code can be found @ 	http://www.aforgenet.com/framework/
		Direct link to download: 		http://www.aforgenet.com/framework/downloads.html

	    DLLs used from the library
		AForge.Imaging.dll

    There is are some that have unsafe sections that deal with pointers and wont compile until you adjust the
    setting for the C# compiler in visual studio 2010

	Instructions:

	Setting the debugger to allow the code to use pointers must be done as well so that it can get
	through the unsafe area.

	Instructions:
	Open the project's Properties page. For details, see How to: Set Project Properties (C#, J#). @ http://msdn.microsoft.com/en-us/library/69t33bf7(v=vs.80).aspx
	Click the Build property page.
	Select the Allow Unsafe Code check box.

V1:


    References to outside libs:
	None that are not already listed

    Known Issues:
	Does not run currently.

    Functionality:
	Simple motion detection that highlight changes between two frames by coloring changed pixels
	to red.

    Special Notes about using:
	N/A	

V2:


    References to outside libs:
	None that are not already listed

    Known Issues:
	Fairly slow. Does not kill the thread on close, only when you tell the debugger to kill it.

    Functionality:
	Compares the two frames like V1 and highlights change with red. Also tries plotting the centers
	of row in each of the blobs. This was in hopes to create data that would allow me to pick out
	limbs or objects shaped liked limbs.

    Special Notes about using:
	N/A

V3:


    References to outside libs:
	None that are not already listed

    Known Issues:
	Erosion could be better.

    Functionality:
	First Stage of my object detection algorithm. This code finds all the pixels that fall in the
	orange and yellow range and keeps them. Then tries to erode noise from the image leaving only
	the dots I am looking for. Displays what is left after the erosion. There is start to dialate
	the image, but proves no value for my goal so is not implemented.

    Special Notes about using:
	Code needs bright yellow and orange objects as it is what it is trying to detect.

V4:


    References to outside libs:

	In the same AForge.net package mentioned above just additional dlls added

	AForge.Math.dll
	AForge.dll


    Known Issues:
	None that I know of

    Functionality:
	This version underwent a lot of changes. This version keeps my find blobs process but has
	replaced most of my functions with more efficient ones. AForge.net has blob processesing
	and lots of image functions that allow me to erode by applying a filter and find all the
	blobs and their key points of data by simply calling a few function calls. Found an example
	of this @ http://www.aforgenet.com/framework/features/blobs_processing.html. This aided me
	in smoothing out my process. After these replacements, the code finds all the blobs and plots
	the center of them on a clean bitmap as small dots of the color they are. So you can see what
	dots are found and their centers. No longer displaying the data from the original image.
	Contains my code for the erosion and attempt to find the key points. I was just getting into
	it when I found the function in AForge.

    Special Notes about using:
	Code needs bright yellow and orange objects as it is what it is trying to detect.
V5:


    References to outside libs:
	In the same AForge.net package mentioned above just additional dlls added

	AForge.Math.dll
	AForge.dll

    Known Issues:
	Cross threading when I am trying to update a UI label on the screen. 
	Issue is commented out. Still using threading though.(Background worker will become my solution)

    Functionality:
	Tracks the dot objects and attempts to draw the stickman in the picture box. Does this by 
	processing the image in a seperate thread and then alerting the main thread to update the 
	picture box with my new bitmap.

    Special Notes about using:
	Detects Red and Yellow objects. The objects used when creating 
	where bright red and bright yellow. Proper lighting is a big
	factor. More lighting the better. Glare is problematic though.