Installing and RUnning the Camera Tracker
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Directions
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1)	Unzip and save the project under C:\
2)	Place the web camera the higher as possible in the room, so it can have a better view of the room and cluster people better.
3)	Run the file ‘BeforeTrackerInThisMachine-RMIreg’ that is under C:\project.
4)	Run the project that is under C:\project\tracker (main java file: ‘TopDownTrackerServer.class’)
5)	No body has to be in the dancing area (to calibrate the camera)
6)	Wait until the client connects (run) à to run


Set up issues:
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Camera Tracker Project à 
c:\project\tracker
Sourcepath:
		c:\project\tracker
		c:\project\house\tracker
		<JMF2.1\bin>
		<JMF2.1\doc>
		<JMF2.1\lib>
Classpath:
		C:\project
C:\project\house\hb14r.zip
C:\project\house\tracker
JMF
J2SDK

Features
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The Camera Tracker was written in JAVA.
The application was built by the MIT Media Lab’s House_n research group. 
The application uses a top-down camera tracker (specifically, an Intel web-cam) for input on the total number of people in a room and the number of those that are dancing. The application uses a real time multi-person/object tracking algorithm that has multiple hypotheses reasoning to enforce multi person match constrains. Reasoning is achieved by clustering the pixel quantities at a location and determining how the cluster is changing over time. 

For the CommonSense DJ
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Once the number of people and the number of those dancing is calculated, the camera application sends the percentage of people dancing to the Common Sense DJ’s Java application layer. The Java application then updates its current knowledge about the dance club’s state and sends it to ThoughtTreasure for suggestions.