A survey of occlusion detection method for visual object

被引:0
|
作者
Zhang S. [1 ,2 ]
He H. [1 ]
Liu J. [1 ]
Zhang Y. [1 ]
Pang Y. [1 ]
Sang Y. [1 ]
机构
[1] School of Information Science and Engineering, Yanshan University, Qinhuangdao
[2] The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao
来源
Zhang, Shihui (sshhzz@ysu.edu.cn) | 1600年 / Inst. of Scientific and Technical Information of China卷 / 22期
基金
中国国家自然科学基金;
关键词
Depth image; Intensity image; Occlusion detection; Visual object;
D O I
10.3772/j.issn.1006-6748.2016.03.004
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Occlusion problem is one of the challenging issues in vision field for a long time, and the occlusion phenomenon of visual object will be involved in many vision research fields. Once the occlusion occurs in a visual system, it will affect the effects of object recognition, tracking, observation and operation, so detecting occlusion autonomously should be one of the abilities for an intelligent vision system. The research on occlusion detection method for visual object has increasingly attracted attentions of scholars. First, the definition and classification of the occlusion problem are presented. Then, the characteristics and deficiencies of the occlusion detection methods based on the intensity image and the depth image are analyzed respectively, and the existing occlusion detection methods are compared. Finally, the problems of existing occlusion detection methods and possible research directions are pointed out. Copyright © by HIGH TECHNOLOGY LETTERS PRESS.
引用
收藏
页码:256 / 265
页数:9
相关论文
共 50 条
  • [1] A survey of occlusion detection method for visual object
    张世辉
    He Huan
    Liu Jianxin
    Zhang Yucheng
    Pang Yunchong
    Sang Yu
    HighTechnologyLetters, 2016, 22 (03) : 256 - 265
  • [2] AN EFFICIENT OCCLUSION DETECTION METHOD TO IMPROVE OBJECT TRACKERS
    Xu, Yingkun
    Qin, Lei
    Li, Guorong
    Huang, Qingming
    2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013), 2013, : 2445 - 2449
  • [3] Object Occlusion and Object Removal Detection
    Chai, Yung Joon
    Khor, Siak Wang
    Tay, Yong Haur
    FIFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2013), 2013, 8878
  • [4] A comprehensive survey on object detection in Visual Art: taxonomy and challenge
    Bengamra, Siwar
    Mzoughi, Olfa
    Bigand, Andre
    Zagrouba, Ezzeddine
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (05) : 14637 - 14670
  • [5] A comprehensive survey on object detection in Visual Art: taxonomy and challenge
    Siwar Bengamra
    Olfa Mzoughi
    André Bigand
    Ezzeddine Zagrouba
    Multimedia Tools and Applications, 2024, 83 : 14637 - 14670
  • [6] Moving object detection for visual odometry in a dynamic environment based on occlusion accumulation
    Kim, Haram
    Kim, Pyojin
    Kim, H. Jin
    2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2020, : 8658 - 8664
  • [7] Method of visual and infrared fusion for moving object detection
    Gao, Shibo
    Cheng, Yongmei
    Zhao, Yongqiang
    OPTICS LETTERS, 2013, 38 (11) : 1981 - 1983
  • [8] A Survey: Feature Fusion Method for Object Detection Field
    Lian, Zhe
    Yin, Yanjun
    Lu, Jingfang
    Xu, Qiaozhi
    Zhi, Min
    Hu, Wei
    Duan, Wentao
    ADVANCED INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS, PT III, ICIC 2024, 2024, 14864 : 84 - 95
  • [9] Visual object tracking: A survey
    Chen, Fei
    Wang, Xiaodong
    Zhao, Yunxiang
    Lv, Shaohe
    Niu, Xin
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2022, 222
  • [10] Detection and Handling of Occlusion in an Object Detection System
    Veld, R. M. G. Op het
    Wijnhoven, R. G. J.
    Bondarev, Y.
    de With, Peter H. N.
    VIDEO SURVEILLANCE AND TRANSPORTATION IMAGING APPLICATIONS 2015, 2015, 9407