군중 영상에서는 가림으로 보행자 검출 점수가 낮아져 배경 오검출과 구별하기 어렵다. 본 논문은 검출기와 추적기 사이에 37차원 시간 문맥 특징을 입력받는 잔차 신경망을 삽입하여 검출 상자는 유지하고 신뢰도만 재추정한다. MOT20의 8,931프레임에 4-fold leave-one-sequence-out 검증을 적용한 결과, 시퀀스 산술평균 AP와 ROC-AUC는 단일 프레임 비교법보다 각각 0.006026과 0.011175 높았다. Platt 보정을 결합한 평균 Brier 점수와 음의 로그우도는 0.103244와 0.334455로 비교 방법 중 가장 낮았으나, ECE는 단일 프레임 비교법이 더 낮았다. 시간 문맥 기반 재추정은 후보의 판별력을 개선했으며, 확률 보정의 효과는 지표별로 차이를 보였다.
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