RPN2T

Original RPN2T project paget:

https://github.com/jimmy-ren/RPN2T

Introduction

We modify the RPN2T tracker by adding flow in sampling strategy and modify the network to siamese network, the paper named Flow Guided Siamese Network for Visual Tracking

This software is implemented using Caffe and part of Faster_rcnn.

System Requirements

This code is tested on 64 bit Linux (Ubuntu 14.04 LTS).

Prerequisites

0. MATLAB (tested with R2014b)
1. Caffe (included in this repository external/_caffe/)
2. For GPU support, a GPU, CUDA toolkit and cuDNN will be needed. We have tested in GTX TitanX(MAXWELL) with CUDA7.5+cuDNNv5 and GTX 1080 with CUDA8.0+cuDNNv5.1.

Installation

Compile Caffe according to the installation guideline.

cd $(RPN2T_ROOT)
cd external/_caffe
# Adjust Makefile.config (For example, the path of MATLAB.)
make all -j8
make matcaffe

Compile LK algorithm (using Matlab)

compile

Online Tracking using RPN2T

Demo

Run (using Matlab at RPN2T_ROOT Folder)

addpath(genpath('./'));
demo_tracking

Result

OTB100