Object Tracking
Initialization with Ground Truth
Online vs Offline Tracking
Cross-correlation
Template Update Strategies
Kernel Density Estimation
Iterative Mode Seeking
Likelihood Computation
Handling Uncertainty
Adaptive Appearance Models
Update Mechanisms
Minimum Output Sum of Squared Error
Filter Training
Filter Application
Kernelized Correlation Filters
Use of Kernel Trick
Multi-channel Features
Discriminative Correlation Filter with Channel and Spatial Reliability
Channel Reliability Estimation
Spatial Reliability Maps
Siamese Network-based Trackers
Fully-Convolutional Siamese Networks
Architecture and Training
Matching Mechanism
Siamese Region Proposal Network
Region Proposal Integration
Multi-scale Tracking
Transformer-based Trackers
Self-attention Mechanisms
Sequence Modeling for Tracking
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2. Fundamental Concepts and Components
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4. Multiple Object Tracking