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Accurate object detection using memory-based models in surveillance scenes

  • Published:2017-07 Issue: Volume:67 Page:73-84
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Li Xudong,Ye Mao,Liu Yiguang,Zhang Feng,Liu Dan,Tang Song

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference43 articles.

1. Robust people counting using sparse representation and random projection;Foroughi;Pattern Recognit.,2015

2. Adaptive pedestrian tracking via patch-based features and spatial-temporal similarity measurement;Shen;Pattern Recognit.,2016

3. Human behaviour recognition in data-scarce domains;Baxter;Pattern Recognit.,2015

4. Deep feature learning with relative distance comparison for person re-identification;Ding;Pattern Recognit.,2015

5. Rapid object detection using a boosted cascade of simple features;Viola,2001

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