얼굴 인식 성능을 저해하는 환경으로 인한 축구 비디오에서의 낮은 선수 인식률과 제한된 해공간의 문제점을 해결하는 차원에서 본 논문에서는 다음과 같은 특징을 갖는 얼굴 인식 기반의 축구선수 인식 방법론을 제안한다: 1) 조명 변화에 민감하지 않은 얼굴 표현 방법인 ULBP를 사용하여 얼굴 인식 성능을 향상시킨다; 2) 얼굴 인식 성능을 저해하는 다양한 환경에서도 이미 강인한 성능이 검증된 SRC를 선수 식별 과정에 적용함으로써 안정적이고 높은 선수 식별 성능을 보장한다; 3) 클로즈업 샷뿐만 아니라 미디엄샷의 정면, 준정면, 측면 얼굴 이미지를 대상으로 선수 식별의 해공간을 확장한다; 4) SRC의 점증적 갱신학습 능력으로 축구 선수 얼굴 데이터베이스의 변화에도 능동적으로 적응한다. 실제 2010년 남아프리카 공화국 월드컵의 스페인 경기를 대상으로 제안된 방법론의 성능을 실험적으로 검증한다.
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