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Nick Hirsch: Progress Report. Track Features (SIFT) Determine Direction of Tracked Points Compare Tracks to FoE Direction Field Update FoE Cluster (Mean-Shift)

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Presentation on theme: "Nick Hirsch: Progress Report. Track Features (SIFT) Determine Direction of Tracked Points Compare Tracks to FoE Direction Field Update FoE Cluster (Mean-Shift)"— Presentation transcript:

1 Nick Hirsch: Progress Report

2 Track Features (SIFT) Determine Direction of Tracked Points Compare Tracks to FoE Direction Field Update FoE Cluster (Mean-Shift) Identify Moving vs. Stationary Cluster Segment Image Pixels (MAP-MRF) Transform Tracks and Relative Error into Feature Space

3  Added RANSAC code to improve FoE estimate  Read the Motion Segmentation literature ◦ There’s no good solution to Motion Segmentation when there’s a perspective transformation  Coded up Mean-shift clustering  Tweaked KLT tracker settings ◦ Futile  Integrated SIFT code into codebase

4  Tracks weren’t accurate enough under certain conditions

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7  Continue hacking until satisfied with tracks  Determine a good feature space  Cluster  Tweak  Repeat  Add image registration code to remove global movements due to camera shake (robustify)


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