探索身份特定的运动特征：一项对照诊断研究
Probing Identity-Specific Motion Signatures: A Controlled Diagnostic Study
AI总结：
研究身份识别中运动线索作用，通过对120名篮球运动员罚球的BALLER120基准研究发现，现代视频模型常依赖静态外观线索，抑制外观后会转向运动微模式，身份特定运动特征可学习但易被忽视。
摘要：
身份识别传统上严重依赖静态外观线索。运动能提供补充且更稳健的特征。本文提出根本问题：现代视频模型在有身份特定运动线索时，在多大程度上利用它们进行识别？通过BALLER120基准研究发现，模型常依赖静态外观线索，抑制外观后会转向运动微模式，外观抑制表征有竞争力且更稳健。
英文摘要：
Identity recognition (e.g., person, animal re-identification) has traditionally relied heavily on static appearance cues. Yet motion--consistent, individual-specific dynamics--can provide a complementary and potentially more robust signature, especially when appearance is weak or variable. This raises a fundamental question: when identity-specific motion cues are clearly present, to what extent do modern video models use them for recognition? To investigate this question, we conduct a systematic diagnostic study and introduce BALLER120, a controlled benchmark of 120 professional basketball players performing free-throws. By focusing on the same multi-phase action across individuals, BALLER120 reduces action-level variation and identity-correlated acquisition biases, enabling fine-grained analysis of identity-specific kinematic patterns. We find that modern video models can predict identity accurately from RGB videos, but often rely on static appearance cues such as faces and jersey regions, even when informative motion cues are available. Strikingly, when appearance is suppressed through silhouette-only or skeleton-only inputs, the same model architectures shift toward motion micro-patterns (e.g., foot placement and elbow bending). Despite containing less visual information, appearance-suppressed representations achieve competitive accuracy and stronger robustness to appearance shifts. Our qualitative analyses further show that appearance-suppressed models attend to distinctive motion patterns across individuals. Overall, our study demonstrates that identity-specific motion signatures are present, informative, and learnable, but modern video models may overlook them in favor of easier static shortcuts unless appearance cues are explicitly suppressed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
