基于顯著度融合的自適應(yīng)分塊行人再識(shí)別

陳鴻昶; 陳雷; 李邵梅; 朱俊光

doi:10.11999/JEIT170162

基于顯著度融合的自適應(yīng)分塊行人再識(shí)別

doi: 10.11999/JEIT170162

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61379151, 61521003)，河南省杰出青年基金(144100510001)

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- 文章訪問數(shù): 1381
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-02-24
- 修回日期: 2017-04-27
- 刊出日期: 2017-11-19

Person Re-identification of Adaptive Blocks Based on Saliency Fusion

Funds:

The National Natural Science Foundation of China (61379151, 61521003), Outstanding Youth Foundation of Henan Province (144100510001)

摘要

摘要: 針對(duì)基于分塊匹配的行人再識(shí)別中對(duì)分塊的規(guī)則和大小缺乏指導(dǎo)，以及不同分塊間的區(qū)分度差異問題，該文提出基于顯著度融合的自適應(yīng)分塊行人再識(shí)別方法。首先，利用啟發(fā)式思想確定初始聚類中心，并根據(jù)圖像內(nèi)容自動(dòng)確定分塊的大小和數(shù)目。然后，利用歸一化部分曲線下面積計(jì)算各塊的圖像間顯著度，利用結(jié)構(gòu)化支持向量機(jī)學(xué)習(xí)各塊的圖像內(nèi)顯著度，并融合兩類顯著度得到各塊的權(quán)重作為匹配得分融合的依據(jù)。實(shí)驗(yàn)證明，在常用的行人再識(shí)別數(shù)據(jù)集上，該方法能取得較好的識(shí)別結(jié)果。
- 行人再識(shí)別 /
- 分塊匹配 /
- 自適應(yīng)分塊 /
- 啟發(fā)式聚類 /
- 顯著度融合
Abstract: In this paper, an adaptive block person re-identification method based on saliency fusion is proposed to solve the problems of the lack of guidance on the rule and size of block in the block matching-based person re-identification, and the differentiation degree between different blocks. Firstly, the heuristic idea is used to determine the initial clustering center, and the size and number of blocks are determined automatically according to the image content. Then, the intra-image salience of each block is calculated using the Area Under the normalized partial Curve (pAUC), the intra-image salience of each block is learned by structured SVM, and the weights of each block are fused as the base of matching Score fusion. Experiments show that this method can achieve better recognition results on the commonly used person re-identification data sets.
- Person re-identification /
- Block matching /
- Adaptive blocks /
- Heuristic clustering /
- Saliency fusion

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參考文獻(xiàn)(22)

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