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Event-based cameras improve batting impact estimation accuracy

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new framework using event-based cameras to accurately estimate the timing of batting impacts. This method addresses the limitations of traditional RGB cameras and IMUs by offering microsecond resolution and high dynamic range. The system generates high-density event frames and employs a mask refinement network with a novel loss function to improve segmentation accuracy, achieving a 63% reduction in Mean Absolute Error on real-world datasets. AI

RANK_REASON The cluster contains an academic paper detailing a new research methodology and experimental results.

Read on arXiv cs.CV →

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Event-based cameras improve batting impact estimation accuracy

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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Ryotaro Ishida, Wataru Ikeda, Ryosei Hara, Akemi Kobayashi, Toshitaka Kimura, Mariko Isogawa ·

    Event-based Batting Impact Estimation

    arXiv:2605.25656v1 Announce Type: new Abstract: Estimating the precise timing of batting impact is crucial for understanding the rapid sensorimotor control. However, this task is challenging for RGB cameras due to insufficient temporal resolution and motion blur. Similarly, Inert…

  2. arXiv cs.CV TIER_1 English(EN) · Mariko Isogawa ·

    Event-based Batting Impact Estimation

    Estimating the precise timing of batting impact is crucial for understanding the rapid sensorimotor control. However, this task is challenging for RGB cameras due to insufficient temporal resolution and motion blur. Similarly, Inertial Measurement Units (IMUs) are impractical for…

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