A Pedestrian Detection System With Weak Classifiers

被引：0
|
作者：
Tetik, Yusuf Engin [1 ]
Bolat, Bulent [1 ]
机构：
[1] Yildiz Tekn Univ, Multimedya Sinyal Anal Lab, Istanbul, Turkey
来源：
2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2013年
关键词：
pedestrian detection system; sliding window approach; weak classifiers; adaboost; rectangle differences; rectangle ratios;
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, a pedestrian detection system which uses sliding window approach to detect pedestrians in still digital images is presented. The proposed pedestrian detection system combines weak classifiers in an Adaboost like novel way to create a strong classifier. Besides, rectangle ratios and discrete cosine transform coefficients are used as features with the well-known rectangle differences method.
引用
收藏
页数：4
相关论文
共 50 条
  • [31] Bayesian learning of a search region for pedestrian detection
    Baek, Jeonghyun
    Hong, Sungjun
    Kim, Jisu
    Kim, Euntai
    MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 75 (02) : 863 - 885
  • [32] Bayesian learning of a search region for pedestrian detection
    Jeonghyun Baek
    Sungjun Hong
    Jisu Kim
    Euntai Kim
    Multimedia Tools and Applications, 2016, 75 : 863 - 885
  • [33] Multi-channel Feature for Pedestrian Detection
    He, Zhixiang
    Xu, Meihua
    Guo, Aiying
    ADVANCED COMPUTATIONAL METHODS IN LIFE SYSTEM MODELING AND SIMULATION, LSMS 2017, PT I, 2017, 761 : 472 - 480
  • [34] Boosted Scene Categorization Approach by Adjusting Inner Structures and Outer Weights of Weak Classifiers
    Qian, Xueming
    Yan, Zhe
    Hang, Kaiyu
    ADVANCES IN MULTIMEDIA MODELING, PT I, 2011, 6523 : 413 - 423
  • [35] Fast pedestrian detection with a cascade of multi-Hogs
    Lin, Y. (linyifeng_jlu@yahoo.cn), 1600, Advanced Institute of Convergence Information Technology (07): : 162 - 169
  • [36] Pedestrian Detection Based on Combining Classifier in Surveillance Video
    Wu, Yutang
    Wang, Xiaohua
    Wu, Haihong
    NETWORK COMPUTING AND INFORMATION SECURITY, 2012, 345 : 492 - 500
  • [37] Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
    Cao, Jiale
    Pang, Yanwei
    Li, Xuelong
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 25 (12) : 5538 - 5551
  • [38] An evolutionary support vector machines classifier for pedestrian detection
    Chen, D.
    Cao, X. B.
    Xu, Y. W.
    Qiao, H.
    2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12, 2006, : 4223 - +
  • [39] LBP-Haar Multi-Feature Pedestrian Detection For Auto-Braking and Steering Control System
    Thiyagarajan, Bharadwaj Vishanth
    Mayur, Andhare
    Ravina, Bothara
    Akilesh, Govindwad
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS (CICN), 2015, : 1527 - 1531
  • [40] Hierarchical Pedestrian Detection Under Low Resolution Scenario
    Liu, Yun-Fu
    Guo, Jing-Ming
    Chang, Che-Hao
    Hsia, Chih-Hsien
    IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATIONS SYSTEMS (ISPACS 2012), 2012,
12345