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Code of KAOT-Tracker v1.0 (Matlab Version for Discussion)
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README.md

Keyfilter-Aware Real-Time UAV Object Tracking

Matlab implementation(Version 2.0)of Keyfilter-Aware UAV Object Tracker (KAOT).

Description and Instructions

How to run

  • download matconvnet
  • install.m - Compile libraries and download network
  • choose_KAOT_Demo.m - choose UAV123 image sequences for the KAOT tracker.

Features

  1. Deep CNN features. It uses matconvnet [1], which is included in external_libs/matconvnet/. The imagenet-vgg-m-2048network available at http://www.vlfeat.org/matconvnet/pretrained/ was used. You can try other networks, by placing them in the feature_extraction/networks/ folder.
  2. HOG features.
  3. Colorspace features. Currently grayscale and RGB are implemented.

Performance on DTB70 and UAV123@10fps

precision

success

Acknowledgements

This work borrowed the feature extraction modules from the STRCF tracker (https://github.com/lifeng9472/STRCF) and the parameter settings from BACF (www.hamedkiani.com/bacf.html).

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