Object Tracking
Matching Lost and Reappearing Objects
Feature Embedding Networks
Metric Learning Approaches
Intrinsic Parameters
Extrinsic Parameters
Homography and Transformation
Cross-camera Identity Matching
Spatio-temporal Constraints
Sensor Characteristics
Applications in Low-light Environments
Point Cloud Representation
Object Segmentation and Association
Learning Without Labeled Data
Self-supervised Objectives
Domain Adaptation
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5. Key Challenges in Object Tracking
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7. Evaluation of Tracking Performance