规则约束的斯诺克转播中主球识别分配问题
Rule-Constrained Assignment for Cue-Ball Identification in Broadcast Snooker
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中文总结 AI 辅助
针对转播斯诺克中光照和遮挡导致主球识别不准的问题，提出规则约束分配方法，将候选联合分配到有界球库存，显著提升身份准确率与覆盖率。
中文摘要 AI 辅助
准确识别主球对于转播斯诺克的度量分析至关重要。现有系统针对固定的白色原型独立评估每个候选，并拒绝外观阈值以上的候选。在转播条件下，光照变化可能使彩色球看起来呈白色，而球员和设备的侵入可能遮挡主球或引入竞争性候选。我们将主球识别表述为一个规则约束的分配问题，将检测到的候选联合分配到有界的斯诺克库存中：一个主球、最多15个红球和六个已知位置的彩球。主球通过将每个候选分配到白色槽位的增量成本来选择，传统的外观测试作为单槽位特例。在419个手工标注的击球中，我们的方法将身份准确率从88.1%提升到95.5%，在未见过的场馆中从80.5%提升到95.2%。在CueLift（我们的度量状态恢复系统）中，该分配将6,241个可得分击球的覆盖率从36.2%扩展到55.4%。在另一项对2,529个击球的单独评估中，为每个击球分配一个估计值保持了这一优势。
英文摘要
Accurate cue-ball identification is essential for metric analysis of broadcast snooker. Existing systems evaluate each candidate independently against a fixed white prototype and reject candidates above an appearance threshold. Under broadcast conditions, illumination changes can make colored balls appear white, while intrusions from players and equipment can obscure the cue ball or introduce competing candidates. We formulate cue-ball identification as a rule-constrained assignment problem that jointly assigns detected candidates to the bounded snooker inventory: one cue ball, up to 15 reds, and six colors with known spots. The cue ball is selected by the incremental cost of assigning each candidate to the white slot, and the conventional appearance test follows as the one-slot case. On 419 hand-annotated shots, our method improves identity accuracy from 88.1% to 95.5%, and from 80.5% to 95.2% on held-out venues. Within CueLift, our metric state-recovery system, the assignment expands coverage from 36.2% to 55.4% over 6,241 scorable shots. Assigning an estimate to every shot in a separate evaluation on 2,529 shots preserves this advantage.
