Visual Object Tracking
Mengmeng Wang
mengmewang@gmail.com
知乎专栏: 目标跟踪算法
4/25/2017
Outline
Overview about visual tracking
Typical Trackers
CF based trackers
KCF (João F. Henriques) High-Speed Tracking with Kernelized Correlation Filters
LMCF (Our work) Large Margin Object Tracking with Circulant Feature Maps
CNN based trackers
SiamFC (Hyeonseob Nam) Fully-Convolutional Siamese Networks for Object Tracking
ECO (Martin Danelljan) Efficient Convolution Operators for Tracking
Summary &Tips
01PART ONE
▶ 我们关注的问题
01 研究背景与意义
Overview
What is visual tracking?
Object Given
The tracker is initialized
with a bounding box in the
first frame
Single Object
Mainly focus on single
object tracking.
Visual
Tracking
Model-Free
Without using any
explicit appearance or
shape model
Real-time
It is better to track an
object in real-time for
practical application
01 研究背景与意义
Overview
01PART ONE
▶ 我们关注的问题
▶ 我们关注的问题
What is visual tracking?
Where is the baby?
01 研究背景与意义
Overview
▶ 我们关注的问题
▶ 我们关注的问题
1.1 研究背景
01PART ONE
1
3
What is visual tracking?
2
4
1
2
3
Service robot
Intelligent monitoring
Intelligent Transportation
4 Human-computer interaction
01 研究背景与意义
Overview
▶ 我们关注的问题
▶ 我们关注的问题
1.1 研究意义
1.1 研究背景
01PART ONE
1
What is visual tracking?
2
3
4
1 Motion Blur
2 Occlusion
3 Deformation
4
Scale Variation
Difficulty
A lot of challenging
Lack of training samples
02 国内外研究现状 ▶从两方面进行分类
▶ 我们关注的问题
▶ 我们关注的问题
1.1 研究意义
1.1 研究背景
01PART ONE
Overview
Existing Trackers
02 国内外研究现状 2.1 目标特征表示:低层特征表示
PART TWO
02 Typical Trackers
KCF: High-Speed Tracking with Kernelized Correlation Filters
• Cross-Correlation
A measure of similarity of two series as a function of the displacement of one relative to the other.
• Circulant Matrices
All circulant matrices are made diagonal by the Discrete Fourier Transform (DFT).
O(K3)→O(KlogK)