Notes - Object Tracking in Videos: Approaches and Issues

paper - Link

Learning is the outcome of failed experiments, solving the problem in your own way, finding a solution based on learned, and newer ideas.

Key Notes
Flow Detection -> Classification -> Tracking -> Action Recognition

Tracking Approaches

• Point Tracking - Track based on points tracked in detected Objects
• Silhouette Tracking - Track based on appearance region in each frame
• Appearance Tracking - Appearances in consecutive frames

Key Techniques

• Dominant color separation technique
• Upper body dominant color
• Lower body dominant color
• Kalman filter
• Haar-like features classifier
• Similarity scores are computed for these subparts / Visible parts
• Centroid based approach
• Mean Shift Algorithm
• Silhouette trackers - shape matching and contour tracking

We can also experiment transfer learning-based feature extractor, clustering as well to group / classify them into groups and detect accordingly

Keep Thinking!!!