南阳师范学院学报
南暘師範學院學報
남양사범학원학보
JOURNAL OF NANYANG TEACHERS COLLEGE
2011年
12期
35-37
,共3页
自适应表观模型%在线学习%多实例学习%正包和负包%目标跟踪
自適應錶觀模型%在線學習%多實例學習%正包和負包%目標跟蹤
자괄응표관모형%재선학습%다실례학습%정포화부포%목표근종
adaptive appear model%online learning%multi-instance learning%positive bag and negative bag%object tracking
介绍一种基于在线多实例学习的目标跟踪方法,在线多实例学习在目标跟踪中的应用是采用基于多实例学习的自适应表观模型,解决了训练样本中存在的模糊歧义问题,探讨了处理训练正包中正样本和负样本的问题,指出了今后多实例学习目标跟踪的研究方向.
介紹一種基于在線多實例學習的目標跟蹤方法,在線多實例學習在目標跟蹤中的應用是採用基于多實例學習的自適應錶觀模型,解決瞭訓練樣本中存在的模糊歧義問題,探討瞭處理訓練正包中正樣本和負樣本的問題,指齣瞭今後多實例學習目標跟蹤的研究方嚮.
개소일충기우재선다실례학습적목표근종방법,재선다실례학습재목표근종중적응용시채용기우다실례학습적자괄응표관모형,해결료훈련양본중존재적모호기의문제,탐토료처리훈련정포중정양본화부양본적문제,지출료금후다실례학습목표근종적연구방향.
A online multi-instance learning-based object tracking approach is presented, multi-instance learning-based adaptive appear model is used by object tracking , the ambiguity of train samples is solved, the problem of positive bag with positive samples and negative samples is pointed, the future study of multi-instance learning-based object tracking is provided.