GitHub - Fungungun/PCT: Part based covariance matrix for visual tracking

Robust Visual Tracking with Probabilistic Finite State Machine

Covariance matrix is used as the appearance model.
Particle filter is used to search the target.
Probabilistic finite state machine is used to model the state transition of targets that are occluded in different parts.

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
DATA_Processing		DATA_Processing
Debug		Debug
Release		Release
cpp		cpp
experiments&results		experiments&results
results		results
x64		x64
.gitattributes		.gitattributes
1.txt		1.txt
Cparticle.cpp		Cparticle.cpp
Cparticle.h		Cparticle.h
IOU.py		IOU.py
README.md		README.md
SParater.h		SParater.h
Test6.cpp		Test6.cpp
Test6.h		Test6.h
TestIntegralImg.cpp		TestIntegralImg.cpp
color1.jpg		color1.jpg
config.ini		config.ini
covImage.cpp		covImage.cpp
covImage.h		covImage.h
covImageIntegral2.vcxproj		covImageIntegral2.vcxproj
covImageIntegral2.vcxproj.filters		covImageIntegral2.vcxproj.filters
covImageIntegral2.vcxproj.user		covImageIntegral2.vcxproj.user
debug.cpp		debug.cpp
debug.h		debug.h
ini.c		ini.c
ini.h		ini.h
utils.cpp		utils.cpp
utils.h		utils.h
video_list.txt		video_list.txt