simplified Proposal Selection Tracker (sPST)

This code implements a method for single-camera, single-target, short-term, causal, model-free tracking, submitted to the VOT2015 and VOT-TIR2015 challenges. It is a simplified version of the Proposal-Selection Tracker in our ICCV 2015 paper.

Copyright (c) 2017 Yang Hua, Henrique Morimitsu, Karteek Alahari, Cordelia Schmid, Inria Grenoble Rhône-Alpes, France.

Contact: Yang Hua (yanghuacv[at]gmail.com), Henrique Morimitsu (henriquem87[at]gmail.com)

Download

• Code
  • simplified Proposal Selection Tracker (sPST) v1.1 (185.7MB)
• Raw results
  • sPST on VOT2015 dataset (1MB)
  • sPST on VOT-TIR2015 dataset (433KB)

Requirements

• Matlab
• Matlab Image Processing Toolbox
• Piotr Dollar's Toolbox [1]
• Piotr Dollar's SedToolbox [2]
• openssl: Usually available from your Linux distro repository. E.g. in Ubuntu 16.04 you can install with: sudo apt install libssl-dev

The code was tested on a machine with Linux Xubuntu 16.04 and Matlab R2014b/R2016a.

Usage

Quick start

• Run src/spst_demo.m in Matlab
• In case you get MEX related errors, you will need to compile the MEX binaries for your machine:
  • Compile the tracker MEX binaries by executing src/compile_mex.m in Matlab
  • Compile the third-party MEX binaries by following the instructions provided in the respective directories in src/3rdparty

Detailed explanation

Before starting, you may need to install some third-party libraries. We have included all the necessary libraries in this package except openssl. Should you prefer, you can download and configure each library yourself. Instructions for doing this are available in the file INSTALL_3RDPARTYLIBS.md.

You can change certain parameters and configurations in the file src/tracker/Config.m. This is not mandatory, and the tracker can be tested without changing the configuration, i.e., downloading and extracting sequences from the datasets (e.g., VOT, OTB) to the sequences folder. We provide a few sample results computed for the VOT video "pedestrian1" in the results folder.

The binary MEX files are compiled in Xubuntu 16.04. If you need to recompile them, run the script src/compile_mex.m for tracker MEX files, and also follow the instructions provided in src/3rdparty.

If you run into issues when executing src/spst_demo.m, you may need to add libstdc++.so.6 in your system environment (i.e., LD_PRELOAD). For Xubuntu 16.04, you can set LD_PRELOAD="/usr/lib/x86_64-linux-gnu/libstdc++.so.6".

It is worth noting that we use fixed sequence in sPST code, so it will provide identical results in all environments.

Testing with other sequences

Place the additional video sequences in the folder defined by "datasetPath" in the config file. The easiest way to do this is by adapting your sequences to either the VOT or the OTB standards and then setting the "datasetFormatFlag" in the file src/tracker/Config.m to either 'vot' or 'otb' (with quotes) accordingly.

License

We use the BSD 3-clause license. Check the file license.txt for more details.

History

• Ver1.1: Release version with better interface and easy-to-use config file
• Ver1.0: Original version submitted to VOT2015 and VOT-TIR2015 challenges

References

[1] Piotr Dollar. Piotr's Computer Vision Matlab Toolbox (PMT). https://github.com/pdollar/toolbox.

[2] C. Lawrence Zitnick, and Piotr Dollar. Edge Boxes: Locating Object Proposals from Edges. In ECCV, 2014.