70 citations · 105 across the 3 of their papers we have counts for
3 papers
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang +2
In this paper, we propose the first higher frame rate video dataset (called Need for Speed - NfS) and benchmark for visual object tracking. The dataset consists of 100 videos (380K…
Learning Background-Aware Correlation Filters for Visual Tracking
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. The strength…
Fast, Dense Feature SDM on an iPhone
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. Our contributions are two-fold. Drawing inspiration from the FFT, we propose a…