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2010
IEEE

Visual Object Tracking using Adaptive Correlation Filters

11 years 8 months ago
Visual Object Tracking using Adaptive Correlation Filters
Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of current state-ofthe-art techniques. The oldest and simplest correlation filters use simple templates and generally fail when applied to tracking. More modern approaches such as ASEF and UMACE perform better, but their training needs are poorly suited to tracking. Visual tracking requires robust filters to be trained from a single frame and dynamically adapted as the appearance of the target object changes. This paper presents a new type of correlation filter, a Minimum Output Sum of Squared Error (MOSSE) filter, which produces stable correlation filters when initialized using a single frame. A tracker based upon MOSSE filters is robust to variations in lighting, scale, pose, and non-rigid deformations while operating at 669 frames per second. Occlusion is detected based upon the peak-tosidelobe ratio, which enables the track...
David Bolme, J Ross Beveridge, Bruce Draper, Yui M
Added 04 Apr 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors David Bolme, J Ross Beveridge, Bruce Draper, Yui Man Lui
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