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Object Tracking Benchmark [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Object tracking has been one of the most important and active research areas in the field of computer vision. A large number of tracking algorithms have been proposed in recent years with demonstrated success. However, the set of sequences used for evaluation is often not sufficient or is sometimes biased for certain types of algorithms.
Jongwoo Lim, Ming-Hsuan Yang
exaly +3 more sources
Complex articulated object tracking
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005 In this paper new results are presented for tracking complex multi-body objects. The theoretical framework is based on robotics techniques and uses an a-priori model of the object including a general mechanical link description.
Andrew Comport +2 more
doaj +9 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
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Survey on Video Object Tracking Algorithms [PDF]
Jisuanji kexue yu tansuo, 2022 Video object tracking is an important research content in the field of computer vision, mainly studying the tracking of objects with interest in video streams or image sequences.
LIU Yi, LI Mengmeng, ZHENG Qibin, QIN Wei, REN Xiaoguang
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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 ...
Nanyang Yang, Yi Wang 0068, Lap-Pui Chau
openaire +2 more sources
Analisis Metode Kalman Filter, Particle Filter dan Correlation Filter Untuk Pelacakan Objek
Komputika, 2023 Object tracking is a challenging in computer vision. Object tracking is divided into two, which can be one object or several objects, depending on the object being observed.
Ridho Sholehurrohman +2 more
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Object Tracking Algorithm with Sparse Prototype Based on TLD [PDF]
Jisuanji gongcheng, 2017 Tracking-learning-detecting(TLD) object tracking algorithm can achieve a long time online tracking.But when the appearance changes of the object by the plane rotation and the object is occluded,the TLD tracking algorithm tracks drift in the process of ...
ZHOU Junna,CHEN Wei,WANG Ke,CAI Changzheng
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Effective Multi-Object Tracking via Global Object Models and Object Constraint Learning
Sensors, 2022 Effective multi-object tracking is still challenging due to the trade-off between tracking accuracy and speed. Because the recent multi-object tracking (MOT) methods leverage object appearance and motion models so as to associate detections between ...
Yong-Sang Yoo +2 more
doaj +1 more source
Semantic Enhanced Distantly Supervised Relation Extraction via Graph Attention Network
Information, 2020 Distantly Supervised relation extraction methods can automatically extract the relation between entity pairs, which are essential for the construction of a knowledge graph.
Xiaoye Ouyang, Shudong Chen, Rong Wang
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