Evaluation of Tracking Methods for Human-Computer Interaction

This paper improved the existing “Camera Mouse” system.

The Camera Mouse system is an interface that processes video input and turns that into input controlling the mouse.

The improvements are made by applying different tracking and filters.

Tracking works by distinguishing facial features and measuring the distance they travel between consecutive frames.

In this study, two trackers are used.

The correlation tracking method is achieved by calculating the differences for each pixel in a 50 X 50 area.

The Lucas-Kanade tracker (LK) uses the principle of optical flow.  Constant brightness of a feature is assumed and the feature is then able to be tracked.

Once tracking data has been gathered, it is then passed into a Kalman Filter for further processing. This filtering allows for finer grain input to the tracker thus reducing its search space.

Subjects were asked to use several applications that required different kinds of mouse input.

 

After studying the trackers, it was determined that the correlation tracker took more time to location the desired features, but produced a lower error rate than the LK tracker.

The Kalman Filter improved tracking accuracy for “non-erratic” mouse movements. The Kalman filter was also more accurate without alternation.

It was also noted that horizontal movement was more accurate than vertical movement. The average range of horizontal movement was 247 pixels while the vertical was 88.

Authors: Christopher Fagiani
Margrit Betke
James Gips
Published in:
· Proceeding
WACV ’02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Page 121
IEEE Computer Society Washington, DC, USA ©2002
ISBN:0-7695-1858-3

About Frank Sposaro

Frank was the initial student to start the mobile lab with Dr. Tyson. After working on the first project, iFall, he and Dr. Tyson designed the Mobile Programming course as FSU. The course is used as a training base to recruit new students into the lab. His thesis researches several medical related applications, including iFall. Frank then went on to implement the redesign of the “favorite contacts” for Android’s Ice Cream Sandwich at Google HQ in Mountain View, California. He currently acts as a tech lead in the lab getting infrastructure and project management tools setup. He has special focus on native Android coding and UI design.