Transcription of Visual Object Tracking using Adaptive Correlation Filters
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Visual Object Tracking using Adaptive Correlation FiltersDavid S. Bolme J. Ross Beveridge Bruce A. Draper Yui Man LuiComputer Science DepartmentColorado State UniversityFort Collins, CO 80521, not commonly used, Correlation Filters can trackcomplex objects through rotations, occlusions and otherdistractions at over 20 times the rate of current state-of-the-art techniques. The oldest and simplest correlationfilters use simple templates and generally fail when ap-plied to Tracking . More modern approaches such as ASEFand UMACE perform better, but their training needs arepoorly suited to Tracking .
wise multiplication in the Fourier domain. Using the ⊙ symbol to explicitly denote element-wise multiplication and ∗ to indicate the complex conjugate, correlation takes the form: G = F ⊙H∗ (1) The correlation output is transformed back into the spa-tial domain using the inverse FFT. The bottleneck in this
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