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NCT:noise-control multi-object tracking
Complex & Intelligent Systems, 2023 Multi-Object Tracking (MOT) is an important topic in computer vision. Recent MOT methods based on the anchor-free paradigm trade complicated hierarchical structures for tracking performance.
Kai Zeng +6 more
doaj +2 more sources
Automatic Parameter Adaptation for Multi-object Tracking [PDF]
, 2013 Object tracking quality usually depends on video context (e.g. object occlusion level, object density). In order to decrease this dependency, this paper presents a learning approach to adapt the tracker parameters to the context variations. In an offline
Bremond, François +2 more
core +7 more sources
Deep Network Flow for Multi-Object Tracking [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Data association problems are an important component of many computer vision applications, with multi-object tracking being one of the most prominent examples.
Chandraker, Manmohan +3 more
core +2 more sources
Multi-object tracking using sparse representation [PDF]
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013 Manuscript to ICASSP 2013International audienceRecently sparse representation has been successfully applied to single object tracking by observing the reconstruction error of candidate object with sparse representation. In practice, sparse representation
Bai, Cong +3 more
core +6 more sources
Track, then Decide: Category-Agnostic Vision-based Multi-Object Tracking [PDF]
2018 IEEE International Conference on Robotics and Automation (ICRA), 2017 The most common paradigm for vision-based multi-object tracking is tracking-by-detection, due to the availability of reliable detectors for several important object categories such as cars and pedestrians.
Leibe, Bastian +3 more
core +2 more sources
Object Initialization in Multiple Object Tracking:A Review [PDF]
Jisuanji kexue, 2022 Object initialization method determines how to treat the multi-object tracking problem,being directly related to the subsequent tracking result.Different object initialization methods confirm different multi-object tracking frameworks and each framework ...
WEN Cheng-yu, FANG Wei-dong, CHEN Wei
doaj +1 more source
Research on Real-Time Tracking Algorithm for Multi-Objects of Shipboard Aircraft Based on Detection [PDF]
Hangkong bingqi, 2021 For safe guidance and real-time monitoring of the shipboard aircraft during the operation, for traditional detection-based object tracking algorithms has poor tracking performance and susceptibility to interference, proposed the multi-object real-time ...
Tian Shaobing, Zhu Xingdong, Fan Jiali, Wang Zheng
doaj +1 more source
Multi-Object Tracking with Tracked Object Bounding Box Association [PDF]
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2021 6 pages, accepted paper at ICME workshop ...
Yang, Nanyang, Wang, Yi, Chau, Lap-Pui
openaire +2 more sources
Survey of Deep Online Multi-object Tracking Algorithms [PDF]
Jisuanji kexue yu tansuo, 2022 Video multi-object tracking is a key task in the field of computer vision and has a wide application prospect in industry, commerce and military fields.
LIU Wenqiang, QIU Hangping, LI Hang, YANG Li, LI Yang, MIAO Zhuang, LI Yi, ZHAO Xinxin
doaj +1 more source
Referring Multi-Object Tracking
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Existing referring understanding tasks tend to involve the detection of a single text-referred object. In this paper, we propose a new and general referring understanding task, termed referring multi-object tracking (RMOT). Its core idea is to employ a language expression as a semantic cue to guide the prediction of multi-object tracking.
Wu, Dongming +5 more
openaire +2 more sources