Multi-object recognition and tracking with feature points matching and spatial layout consistency

被引：0
|
作者：
Boujelhane, Ismail [1 ]
Said, Souheil Hadj [1 ]
Zaharia, Titus [1 ]
机构：
[1] Telecom SudParis, Inst Mines Telecom, ARTEMIS, CNRS UMR 8145 MAPS, Evry, France
来源：
2014 IEEE FOURTH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS BERLIN (ICCE-BERLIN) | 2014年
关键词：
localization; local interest point; layout consistency; matching pair;
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, we propose a simultaneous textured object recognition and localization approach designed to real-time mobile devices applications. Local interest points are extracted and classified with the help of a strong matching algorithm. The matching procedure is based on a strict verification of the spatial layout consistency of the considered interest points. The proposed approach is well suited for real-time multi objects tracking and yields precision/recall rates superior to 90%.
引用
收藏
页码：355 / 359
页数：5
相关论文
共 50 条
  • [1] Object Hypotheses as Points for Efficient Multi-Object Tracking
    Tarashima, Shuhei
    VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 5: VISAPP, 2021, : 828 - 835
  • [2] Feature Compression for Multimodal Multi-Object Tracking
    Li, Xinlin
    Hanna, Osama A.
    Fragouli, Christina
    Diggavi, Suhas
    Verma, Gunjan
    Bhattacharyya, Joydeep
    MILCOM 2023 - 2023 IEEE MILITARY COMMUNICATIONS CONFERENCE, 2023,
  • [3] Multi-Object Tracking in Video Sequences Based on Background Subtraction and SIFT Feature Matching
    Rahman, Md. Saidur
    Saha, Aparna
    Khanum, Snigdha
    ICCIT: 2009 FOURTH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND CONVERGENCE INFORMATION TECHNOLOGY, VOLS 1 AND 2, 2009, : 457 - 462
  • [4] LocaLock: Enhancing Multi-Object Tracking in Satellite Videos via Local Feature Matching
    Kong, Lingyu
    Yan, Zhiyuan
    Shi, Hanru
    Zhang, Ting
    Wang, Lei
    REMOTE SENSING, 2025, 17 (03)
  • [5] Multi-object tracking using dynamical graph matching
    Chen, HT
    Lin, HH
    Liu, TL
    2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 2, PROCEEDINGS, 2001, : 210 - 217
  • [6] Temporal-Spatial Feature Interaction Network for Multi-Drone Multi-Object Tracking
    Wu, Han
    Sun, Hao
    Ji, Kefeng
    Kuang, Gangyao
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2025, 35 (02) : 1165 - 1179
  • [7] Development of a multi-object tracking algorithm with untrained features of object matching
    Gorbachev, V. A.
    Kalugin, V. F.
    COMPUTER OPTICS, 2023, 47 (06) : 1002 - +
  • [8] Joint Object Detection and Multi-Object Tracking Based on Hypergraph Matching
    Cui, Zhoujuan
    Dai, Yuqi
    Duan, Yiping
    Tao, Xiaoming
    APPLIED SCIENCES-BASEL, 2024, 14 (23):
  • [9] Self-Supervised Multi-Object Tracking with Path Consistency
    Lu, Zijia
    Shuai, Bing
    Chen, Yanbei
    Xu, Zhenlin
    Modolo, Davide
    2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2024, : 19016 - 19026
  • [10] Local many-to-many matching via ROI feature decomposition for multi-object tracking
    Yang, Jinlong
    Ban, Yandeng
    Liu, Jianjun
    SIGNAL IMAGE AND VIDEO PROCESSING, 2024, 18 (10) : 6573 - 6589
12345