Results 11 to 20 of about 644,463 (328)
Perception & Psychophysics, 2007 Is content addressable in the representation that subserves performance in multiple-object-tracking (MOT) experiments? We devised an MOT variant that featured unique, nameable objects (cartoon animals) as stimuli. There were two possible response modes: standard, in which observers were asked to report the locations of all target items, and specific ...
Horowitz, Todd S. +5 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
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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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IEEE Access, 2021 Object tracking is an important basis for the autonomous navigation of unmanned surface vehicles. However, several problems still must be addressed for a wide applicating of object tracking in unmanned surface vehicles.
Qingze Yu, Bo Wang, Yumin Su
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Tracking of a Fixed-Shape Moving Object Based on the Gradient Descent Method
Sensors, 2022 Tracking moving objects is one of the most promising yet the most challenging research areas pertaining to computer vision, pattern recognition and image processing.
Haris Masood +6 more
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Object-Tracking Algorithm Combining Motion Direction and Time Series
Applied Sciences, 2023 Object tracking using deep learning is a crucial research direction within intelligent vision processing. One of the key challenges in object tracking is accurately predicting the object’s motion direction in consecutive frames while accounting for the ...
Jianjun Su, Chenmou Wu, Shuqun Yang
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A New Object Tracking Framework for Interest Point Based Feature Extraction Algorithms
Elektronika ir Elektrotechnika, 2020 This paper presents a novel object tracking framework for interest point based feature extracting algorithms. The proposed framework uses the feature extracting algorithm without making any changes and it relies on outlier detection, object modelling ...
Zafer Guler, Ahmet Cinar, Erdal Ozbay
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Object-Centric Multiple Object Tracking
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 ICCV 2023 camera-ready ...
Zhao, Z. +15 more
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Manifold Regularized Correlation Object Tracking [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 In this paper, we propose a manifold regularized correlation tracking method with augmented samples. To make better use of the unlabeled data and the manifold structure of the sample space, a manifold regularization-based correlation filter is introduced, which aims to assign similar labels to neighbor samples.
Hongwei Hu +3 more
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