ACCELERATED LOCAL FEATURE EXTRACTION IN A REUSE SCHEME FOR EFFICIENT ACTION RECOGNITION

被引：0

作者：

Chen, Jia-Lin ^{[1
]}

Lin, Zhi-Yi ^{[1
]}

Wan, Yi-Chen ^{[1
]}

Chen, Liang-Gee ^{[1
]}

机构：

[1] Natl Taiwan Univ, Grad Inst Elect Engn, DSP IC Design Lab, Taipei, Taiwan

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2016年

关键词：

Feature reuse; local feature extraction; partial feature extraction; action recognition; region of interest;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose an accelerated local feature extraction in a reuse scheme for action recognition. Most local features of the previous frame could be reused due to the high correlation between successive frames. Feature extraction is only needed to be applied partially in the current frame. The full-frame features of the current frame are combined by features extracted at different times. Experimental results show that the proposed reuse scheme can achieve comparable performance to full-frame feature extraction while computational effort is reduced significantly.

引用

页码：296 / 299

页数：4

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