Multiple object tracking with extended occlusions

被引:0
|
作者
Lukavsky, Jiri [1 ,3 ]
Oksama, Lauri [2 ]
Dechterenko, Filip [1 ]
机构
[1] Czech Acad Sci, Inst Psychol, Prague, Czech Republic
[2] Univ Turku, Dept Psychol & Speech Language Pathol, Turku, Finland
[3] Czech Acad Sci, Inst Psychol, Hybernska 8, Prague 11000, Czech Republic
来源
基金
芬兰科学院;
关键词
Visual attention; visual memory; occlusion; multiple object tracking; multiple identity tracking; ATTENTIVE TRACKING; IDENTITY TRACKING; VISUAL-ATTENTION; WORKING-MEMORY; EYE-MOVEMENTS; INHIBITION; RESOURCES; BINDING; MODEL;
D O I
10.1177/17470218221142463
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
In everyday life, we often view objects through a limited aperture (e.g., soccer players on TV or cars slipping into our blind spot on a busy road), where objects often move out of view and reappear in a different place later. We modelled this situation in a series of multiple object tracking (MOT) experiments, in which we introduced a cover on the edges of the observed area and manipulated its width. This method introduced systematic occlusions, which were longer than those used in previous MOT studies. Experiment 1 (N = 50) showed that tracking under such conditions is possible, although difficult. An item-level analysis confirmed that people made more errors in targets that were covered longer and more often. In Experiment 2 (N = 50), we manipulated the tracking workload and found that the participants were less affected by the cover when the tracking load was low. In Experiment 3 (N = 50), we asked the participants to keep track of the objects' identities (multiple identity tracking [MIT]). Although MIT is subjectively more demanding, memorising identities improved performance in the most difficult cover conditions. Contrary to previous reports, we also found that even partial occlusions negatively affected tracking.
引用
收藏
页码:2094 / 2106
页数:13
相关论文
共 50 条
  • [21] Object Tracking under Occlusions by Hierarchical Part Matching
    Jin, Lizuo
    Sun, Weiguo
    He, Sha
    Pan, Hong
    MIPPR 2011: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS, 2011, 8003
  • [22] Iris Tracking Using Extended Object Tracking
    Dunau, Patrick
    Beyerer, Juergen
    2016 19TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2016, : 1735 - 1742
  • [23] Improving Multiple Object Tracking with Single Object Tracking
    Zheng, Linyu
    Tang, Ming
    Chen, Yingying
    Zhu, Guibo
    Wang, Jinqiao
    Lu, Hanqing
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021, 2021, : 2453 - 2462
  • [24] Multiple and extended object tracking with Poisson spatial processes and variable rate filters
    Godsill, S
    Li, J
    Ng, W
    IEEE CAMSAP 2005: FIRST INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, 2005, : 93 - 96
  • [25] Multiple extended objects tracking with object-local occupancy grid maps
    Schuetz, Markus
    Appenrodt, Nils
    Dickmann, Juergen
    Dietmayer, Klaus
    2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2014,
  • [26] Message passing based data association algorithm for multiple extended object Tracking
    Yang, Feng
    Wei, Yuankun
    Xu, Linfeng
    2022 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES (ICCAIS), 2022, : 54 - 59
  • [27] Coping with occlusions in visual tracking of multiple objects
    Lippiello, V
    Siciliano, B
    Villani, L
    IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 1530 - 1535
  • [28] TRACKING VISUAL OBJECT AS AN EXTENDED TARGET
    Xu, Liang
    Niu, Ruixin
    2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 664 - 668
  • [29] Extended Object Tracking and Shape Classification
    Tuncer, Barlun
    Kumru, Murat
    Ozkan, Emre
    Alatan, A. Aydin
    2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2018, : 267 - 274
  • [30] A hybrid approach for extended object tracking
    Li, Borui
    Mu, Chundi
    Bai, Tianming
    Liu, Zhijuan
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2014, 35 (05): : 1336 - 1346