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Proceedings Paper

Improved tracking by decoupling camera and target motion
Author(s): Shawn Lankton; Allen Tannenbaum
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Paper Abstract

Video tracking is widely used for surveillance, security, and defense purposes. In cases where the camera is not fixed due to pans and tilts, or due to being fixed on a moving platform, tracking can become more difficult. Camera motion must be taken into account, and objects that come and go from the field of view should be continuously and uniquely tracked. We propose a tracking system that can meet these needs by using a frame registration technique to estimate camera motion. This estimate is then used as the input control signal to a Kalman filter which estimates the target's motion model based on measurements from a mean-shift localization scheme. Thus we decouple the camera and object motion and recast the problem in terms of a principled control theory solution. Our experiments show that using a controller built on these principles we are able to track videos with multiple objects in sequences with moving cameras. Furthermore, the techniques are computationally efficient and allow us to accomplish these results in real-time. Of specific importance is that when objects are lost off-frame they can still be uniquely identified and reacquired when they return to the field of view.

Paper Details

Date Published: 26 February 2008
PDF: 8 pages
Proc. SPIE 6811, Real-Time Image Processing 2008, 681112 (26 February 2008); doi: 10.1117/12.768453
Show Author Affiliations
Shawn Lankton, Georgia Institute of Technology (United States)
Allen Tannenbaum, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 6811:
Real-Time Image Processing 2008
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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