Search Results for author: Ashton Fagg

Found 3 papers, 2 papers with code

Need for Speed: A Benchmark for Higher Frame Rate Object Tracking

1 code implementation ICCV 2017 Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey

In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking.

Visual Object Tracking

Learning Background-Aware Correlation Filters for Visual Tracking

1 code implementation ICCV 2017 Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey

Correlation Filters (CFs) have recently demonstrated excellent performance in terms of rapidly tracking objects under challenging photometric and geometric variations.

Object Visual Tracking

Fast, Dense Feature SDM on an iPhone

no code implementations16 Dec 2016 Ashton Fagg, Simon Lucey, Sridha Sridharan

In this paper, we present our method for enabling dense SDM to run at over 90 FPS on a mobile device.

regression

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