Document my progress on completing my integrative paper.

Final Paper:
 

Design Issues for an envisioned multi-sensor tracker for tracking computer user’s pose in an office Abstract: The multi-sensor tracker will be able to track several people’s poses in an office environment. The tracker’s output will be accurate enough for an office application to operate properly. For example, the tracker’s output is will be used by an auto stereoscopic screen, which displays 3D images according to the viewer’s pose.  The tracker will accomplish its accurate tracking of an object’s pose with a network of sensors spread throughout the tracking environment. Each sensor will be connected to a processor. The sensor data is used to compute the tracker’s output with a tracking algorithm that executes, distributed across the processors connected to the sensors. The tracking algorithm will apply ideas from the SCAAT method to distribute the tracking computation. A network connecting the sensors will enable the tracking algorithm to exchange partial data to complete the tracker’s output. The network will be designed with ideas from directed diffusion. The design of the multi-sensor tracker will enable robust tracking in a large volume.

 
 

Main papers

1. Perlin, K., Paxia, S. and Kollin, J. (2000). "An Autostereoscopic Display", SIGGRAPH. New Orleans, LA.
2. Intanagonwiwat, C., R., R.G. and Estrin, D. (2000). "Directed diffusion: a scalable and robust communication paradigm for sensor networks", Mobile Computing and Networking. 
3. Welch, G. and Bishop, G. (1997). "SCAAT: Incremental Tracking with Incomplete Information", Siggraph. LA, CA: ACM Press. 

Additional references

1. Morimoto, C., Koons, D., Amir, A. and Flickner, M. (1998). "Pupil dectection and tracking using multiple light sources", RJ10117.??? 
2. Quirino, R. and Bottura, C. (2001). "An approach for distributed kalman filtering", SBA Control and Automation.??? 

Outline & drafts

Outline

• Outline -- After the final papers are chosen.
• Revised outline -- I have understood the idea that I do not need to design the Office Tracker.

Detailed notes 
Drafts

• Fisrt draft (March 19)
• Second readable draft (April 1)
• Third readable and flowing draft (April 8) -- The introduction has been changed to guide the reader into the important issues in tracking. The paragraphs in bold are the high level overviews that guide the reader into the next section.
• Final version

Versions of introductions

• No direction
• Readable, no direction
• Flow of paragraphs
• Consist paragrph content
• Senstence structure

(still to be written)

• Autosteroscopic displays
• MRL New York
• IBM blue eyes Home page
• Blue eye pub (working at 15Hz, can we do better?)
• distributed sensor networks
• Directed defusion
• Possible references
• http://www.data-fusion.org/
• http://www.inforfusion.org/
• Multisensor data fusion
• IEEE MFI 2001
• artifical neural networks
• overview
• More introduction
• demos
• SCATT: sampling
• SCATT
• Distributed Kalman
• More distributed Kalman filter

How do control systems relating to tracking. Control system computes state and manipultes world to adjust state (feedback in system. Tracking as no control over environment.

The significance of linear vs. nonlinear systems. (I know superposition, multi, and add). 

• Tue Feb 19 -  Detailed outline of IP approved.  Signed Form CS-09 (Part I) filed with Janet Jones. 
• Tue Mar 19 -  Draft of IP to readers for review.
• Tue Mar 26 -  Reader review completed and comments returned.
• Tue Apr 16 -  Final draft submitted to readers. 
• Tue Apr 23 -  IP grade reported to Janet Jones by readers on form CS-09 (Part II).