Real-time pedestrian detection based on resolution aware feature transformation

被引：0
|
作者：
机构：
[1] Yu, Shuqin
[2] Xu, Xianghua
来源：
Yu, Shuqin | 1600年 / Binary Information Press卷 / 10期
关键词：
Mathematical transformations;
D O I：
10.12733/jcis11638
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Real-time feature-aware video abstraction
    Zhao, Hanli
    Jin, Xiaogang
    Shen, Jianbing
    Mao, Xiaoyang
    Feng, Jieqing
    VISUAL COMPUTER, 2008, 24 (7-9): : 727 - 734
  • [32] Design of High-Performance HOG Feature Calculation Circuit for Real-Time Pedestrian Detection
    Kim, Soojin
    Cho, Kyeongsoon
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2015, 31 (06) : 2055 - 2073
  • [33] Fast vehicle detection based on feature and real-time prediction
    Xu, Hanyang
    Zhou, Zhen
    Sheng, Bin
    Ma, Lizhuang
    2013 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2013, : 2860 - 2863
  • [34] Multi-Scale Feature Fusion Lightweight Real-Time Infrared Pedestrian Detection at Night
    He Z.
    Chen G.
    Chen J.
    Zhang Y.
    Zhongguo Jiguang/Chinese Journal of Lasers, 2022, 49 (17):
  • [35] Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation
    Prioletti, Antonio
    Mogelmose, Andreas
    Grisleri, Paolo
    Trivedi, Mohan Manubhai
    Broggi, Alberto
    Moeslund, Thomas B.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2013, 14 (03) : 1346 - 1359
  • [36] Real-time Pedestrian and Vehicle Detection for Autonomous Driving
    Yang, Zhiheng
    Li, Jun
    Li, Huiyun
    2018 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2018, : 179 - 184
  • [37] A robust system for real-time pedestrian detection and tracking
    Li Qi
    Shao Chun-fu
    Zhao Yi
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2014, 21 (04) : 1643 - 1653
  • [38] A robust system for real-time pedestrian detection and tracking
    李琦
    邵春福
    赵熠
    Journal of Central South University, 2014, 21 (04) : 1643 - 1653
  • [39] Hardware implementation of real-time pedestrian detection system
    Abdelhamid Helali
    Haythem Ameur
    J. M. Górriz
    J. Ramírez
    Hassen Maaref
    Neural Computing and Applications, 2020, 32 : 12859 - 12871
  • [40] Real-time Pedestrian Detection Using SVM and AdaBoost
    Kharjul, Rupesh A.
    Tungar, Vinit K.
    Kulkarni, Yogesh P.
    Upadhyay, Samarth K.
    Shirsath, Rakesh
    2015 INTERNATIONAL CONFERENCE ON ENERGY SYSTEMS AND APPLICATIONS, 2015, : 740 - 743
12345