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Pattern Recognition and Computer Vision

First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Jian-Huang Lai

    1. Sun Yat-sen University, Guangzhou, China

  2. Cheng-Lin Liu

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

  3. Xilin Chen

    1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

  4. Jie Zhou

    1. Tsinghua University, Beijing, China

  5. Tieniu Tan

    1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

  6. Nanning Zheng

    1. Xi’an Jiaotong University, Xi’an, China

  7. Hongbin Zha

    1. Peking University, Beijing, China

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11259)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: PRCV 2018.

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  • 2 Citations

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About this book

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.

The 179 revised full papers presented were carefully reviewed and selected from 399 submissions. The papers have been organized in the following topical sections:
Part I: Biometrics, Computer Vision Application. Part II: Deep Learning. Part III: Document Analysis, Face Recognition and Analysis, Feature Extraction and Selection, Machine Learning. Part IV: Object Detection and Tracking, Performance Evaluation and Database, Remote Sensing.   

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Table of contents (35 papers)

  1. Front Matter

    Pages I-XV
    Download chapter PDF

  2. Object Detection and Tracking

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Asymmetric Two-Stream Networks for RGB-Disparity Based Object Detection

      • Ruizhi Lu, Jianhuang Lai, Xiaohua Xie
      Pages 3-15

    3. Crack Detection for Concrete Architecture Images Using Feature Enhancement Filtering and Shape Guided Active Contour Model

      • Xiaomin Xie, Tingting Wang, Bo Liu, Kui Li, Lin Zhang
      Pages 16-26

    4. Domain Attention Model for Domain Generalization in Object Detection

      • Weixiong He, Huicheng Zheng, Jianhuang Lai
      Pages 27-39

    5. Exploring Multi-scale Deep Feature Fusion for Object Detection

      • Quan Zhang, Jianhuang Lai, Xiaohua Xie, Junyong Zhu
      Pages 40-52

    6. Infrared Small Target Detection Using Multiscale Gray and Variance Difference

      • Jinyan Gao, Yulan Guo, Zaiping Lin, Wei An
      Pages 53-64

    7. A Local Top-Down Module for Object Detection with Multi-scale Features

      • Shihua Huang, Lu Wang, Peiyu Yang, Qingxu Deng
      Pages 65-77

    8. Parallel Connecting Deep and Shallow CNNs for Simultaneous Detection of Big and Small Objects

      • Canlong Zhang, Dongcheng He, Zhixin Li, Zhiwen Wang
      Pages 78-89

    9. Penalty Non-maximum Suppression in Object Detection

      • Wenqing Zhao, Hai Yan
      Pages 90-102

    10. Self-Paced Densely Connected Convolutional Neural Network for Visual Tracking

      • Daohui Ge, Jianfeng Song, Yutao Qi, Chongxiao Wang, Qiguang Miao
      Pages 103-114

    11. A Saliency-Based Object Tracking Method for UAV Application

      • Jinyu Yang, Wenrui Ding, Chunlei Liu, Zechen Ha
      Pages 115-125

    12. Research on Real-Time Vehicle Detection Algorithm Based on Deep Learning

      • Wei Yang, Ji Zhang, Zhongbao Zhang, Hongyuan Wang
      Pages 126-137

    13. Vehicle Detection Based on Separable Reverse Connected Network

      • Enze Yang, Linlin Huang, Jian Hu
      Pages 138-149

    14. Online Multiple Person Tracking Using Fully-Convolutional Neural Networks and Motion Invariance Constraints

      • Nan Wang, Qi Zou, Yaping Huang, Qiulin Ma
      Pages 150-161

    15. Conductive Particles Detection in the TFT-LCD Manufacturing Process with U-ResNet

      • Kangping Chen, Eryun Liu
      Pages 162-173

    16. A New Monocular 3D Object Detection with Neural Network

      • Weijie Hong, Yiguang Liu, Yunan Zheng, Ying Wang, Xuelei Shi
      Pages 174-185

    17. SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection

      • Le Han, Xuelong Li, Yongsheng Dong
      Pages 186-198

    18. Gated Feature Pyramid Network for Object Detection

      • Xuemei Xie, Quan Liao, Lihua Ma, Xing Jin
      Pages 199-208

    19. Learning Non-local Representation for Visual Tracking

      • Peng Zhang, Zengfu Wang
      Pages 209-220
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Other volumes

  1. Pattern Recognition and Computer Vision

  2. Pattern Recognition and Computer Vision

  3. Pattern Recognition and Computer Vision

  4. Pattern Recognition and Computer Vision

Editors and Affiliations

  • Sun Yat-sen University, Guangzhou, China

    Jian-Huang Lai

  • Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Cheng-Lin Liu, Tieniu Tan

  • Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

    Xilin Chen

  • Tsinghua University, Beijing, China

    Jie Zhou

  • Xi’an Jiaotong University, Xi’an, China

    Nanning Zheng

  • Peking University, Beijing, China

    Hongbin Zha

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