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基于支持樣本間接式的行人再識別

孫銳 方蔚 黃啟恒 高雋

孫銳, 方蔚, 黃啟恒, 高雋. 基于支持樣本間接式的行人再識別[J]. 電子與信息學(xué)報, 2017, 39(12): 2953-2961. doi: 10.11999/JEIT170215
引用本文: 孫銳, 方蔚, 黃啟恒, 高雋. 基于支持樣本間接式的行人再識別[J]. 電子與信息學(xué)報, 2017, 39(12): 2953-2961. doi: 10.11999/JEIT170215
SUN Rui, FANG Wei, HUANG Qiheng, GAO Jun. Indirect Person Re-identification Based on Support Samples[J]. Journal of Electronics & Information Technology, 2017, 39(12): 2953-2961. doi: 10.11999/JEIT170215
Citation: SUN Rui, FANG Wei, HUANG Qiheng, GAO Jun. Indirect Person Re-identification Based on Support Samples[J]. Journal of Electronics & Information Technology, 2017, 39(12): 2953-2961. doi: 10.11999/JEIT170215

基于支持樣本間接式的行人再識別

doi: 10.11999/JEIT170215
基金項(xiàng)目: 

國家自然科學(xué)基金(61471154),安徽省科技攻關(guān)科技強(qiáng)警項(xiàng)目(170d0802181)

Indirect Person Re-identification Based on Support Samples

Funds: 

The National Natural Science Foundation of China (61471154), Anhui Province Science and Technology Research (170d0802181)

  • 摘要: 行人再識別就是在無重疊視域多攝像機(jī)監(jiān)控系統(tǒng)中,識別出相同的行人。針對來自于不同攝像頭行人圖片存在著視角、光照和尺度變化的問題。該文提出了基于支持樣本間接式匹配的行人再識別方法。該算法首先通過聚類的方法分別提取不同攝像頭下的支持樣本,當(dāng)要對來自不同攝像頭的行人進(jìn)行匹配時,在距離測度的基礎(chǔ)上利用支持樣本分別判別出其所在攝像頭下的行人類別,通過類別的對比判斷是否為同一行人。該方法避免了不同攝像頭下行人圖片直接匹配,有效解決不同攝像頭帶來的視角、光照和尺度問題。實(shí)驗(yàn)結(jié)果表明該文的算法相比一些經(jīng)典算法識別率有一定的提高,并且在數(shù)據(jù)集VIPeR, CAVIAR4ReID和CUHK01上,Rank1分別達(dá)到了43.60%, 41.36%, 43.82%。
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出版歷程
  • 收稿日期:  2017-03-17
  • 修回日期:  2017-09-15
  • 刊出日期:  2017-12-19

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