Classical CV Multi-Camera Stitching and Sports Motion Tracking
Pain Points (Public)
Budget sports filming rigs need automated broadcast-style tracking, but standard deep-learning pipelines require costly GPU hardware, high power consumption, and specialized training datasets that small sports organizations cannot accommodate.
Suggested Approach (Public)
Build a real-time panoramic stitching pipeline for dual fixed cameras using feature-based homography, coupled with traditional computer vision algorithms like background subtraction and optical flow to follow game action without neural network inference.
Metrics (Public)
Statistics window：Weekly 2026-09-03 – 2026-09-09
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Public Demand Evidence · 4 task(s)
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