Automatic pedestrian detection in partially occluded single image-Reference-Cited by-同舟云学术

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Automatic pedestrian detection in partially occluded single image

Published:2018-09-05 Issue:4 Volume:25 Page:369-379
ISSN:1069-2509
Container-title:Integrated Computer-Aided Engineering
language:
Short-container-title:ICA

Author:

Hsu Wei-Yen¹²³

Affiliation:

1. Department of Information Management, National Chung Cheng University, Minhsiung, Chiayi, Taiwan

2. Advanced Institute of Manufacturing with High-tech Innovations, National Chung Cheng University, Minhsiung, Chiayi, Taiwan

3. Center for Innovative Research on Aging Society (CIRAS), National Chung Cheng University, Minhsiung, Chiayi, Taiwan

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software

Reference59 articles.

1. Finding flows equilibrium in pedestrian environments with a cellular automaton;Crociani;Computer-Aided Civil and Infrastructure Engineering,2016

2. Kinect-based pedestrian detection for crowded scenes;Chen;Computer-Aided Civil and Infrastructure Engineering,2016

3. Pedestrian detection in far infrared images;Olmeda;Integrated Computer-Aided Engineering,2013

4. Integrating a statistical background-foreground extraction algorithm and SVM classifier for pedestrian detection and tracking;Li;Integrated Computer-Aided Engineering,2013

5. Lightweight tracking-by-detection system for multiple pedestrian targets;Lacabex;Integrated Computer-Aided Engineering,2016

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TCNN Architecture for Partial Occlusion Handling in Pedestrian Classification;International Journal of Pattern Recognition and Artificial Intelligence;2023-08

2. A novel small-scale pedestrian detection method base on residual block group of CenterNet;Computer Standards & Interfaces;2023-03

3. Pedestrian detection using a translation-invariant wavelet residual dense super-resolution;Optics Express;2022-10-25

4. Translation-invariant context-retentive wavelet reflection removal network;Optics Express;2022-08-10

5. Detail-Enhanced Wavelet Residual Network for Single Image Super-Resolution;IEEE Transactions on Instrumentation and Measurement;2022

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