Object Tracking

  1. Advanced Topics in Tracking
    1. Re-Identification for Long-Term Tracking
      1. Role of Re-ID in Re-acquiring Lost Targets
        1. Matching Lost and Reappearing Objects
        2. Deep Learning for Person Re-ID
          1. Feature Embedding Networks
            1. Metric Learning Approaches
          2. Multi-Camera Tracking
            1. Camera Calibration and Geometry
              1. Intrinsic Parameters
                1. Extrinsic Parameters
                  1. Homography and Transformation
                  2. Inter-camera Trajectory Association
                    1. Cross-camera Identity Matching
                      1. Spatio-temporal Constraints
                    2. Tracking in Different Modalities
                      1. Infrared Tracking
                        1. Sensor Characteristics
                          1. Applications in Low-light Environments
                          2. 3D Point Cloud Tracking
                            1. Point Cloud Representation
                              1. Object Segmentation and Association
                            2. Unsupervised and Self-Supervised Tracking
                              1. Learning Without Labeled Data
                                1. Self-supervised Objectives
                                  1. Domain Adaptation

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                                5. Key Challenges in Object Tracking

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                                7. Evaluation of Tracking Performance