Tracking Benchmark for Correlation Filters
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Updated
Nov 30, 2017 - Objective-C
Tracking Benchmark for Correlation Filters
This is the implementation of MOSSE tracking algorithm (correlation filter based).
Real-time visual object tracking using correlations filters and deep learning
Open source visual object tracking library in python
Kernel Cross-Correlator (KCC) for Tracking and Recognition (AAAI 2018)
zKCF is an extensible C++ implementation of KCF visual tracker.
This repository contains routines for image acquisition and data pre and post processing for facial recognition using correlation techniques via linear filters.
Collection of Correlation Filter based trackers with links to papers, codes, etc
MATLAB code for BACF object tracker
Adding Noise Noise Canceling Image resizing Resolution Study Filtering processes -Midic filter -Mean filter -Laplasian filter Photo Sharpening
cascade correlation filter for super fast face landmark detection (500 landmarks/sec)
Complementary object Tracking using APCE.
Implementation of MOSSE tracker in Matlab, created as an attempt to understand better correlation filter-based tracking
Simple correlation filter-based MOSSE tracker using PyTorch tensor interface
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