Results 11 to 20 of about 497,054 (287)
Real-Time 3D Single Object Tracking With Transformer
IEEE Transactions on Multimedia.
Jiayao Shan +3 more
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Single Object Tracking Research: A Survey
Visual object tracking is an important task in computer vision, which has many real-world applications, e.g., video surveillance, visual navigation. Visual object tracking also has many challenges, e.g., object occlusion and deformation. To solve above problems and track the target accurately and efficiently, many tracking algorithms have emerged in ...
Han, Ruize +3 more
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Deep Feature Based Siamese Network for Visual Object Tracking
One of the most important and challenging research subjects in computer vision is visual object tracking. The information obtained from the first frame consists of limited and insufficient information to represent an object.
Su-Chang Lim, Jun-Ho Huh, Jong-Chan Kim
doaj +1 more source
Enhanced Multiple-Object Tracking Using Delay Processing and Binary-Channel Verification
Tracking objects over time, i.e., identity (ID) consistency, is important when dealing with multiple object tracking (MOT). Especially in complex scenes with occlusion and interaction of objects this is challenging.
Muyu Li +5 more
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A TOOL TO ENHANCE THE CAPACITY FOR DEEP LEARNING BASED OBJECT DETECTION AND TRACKING WITH UAV DATA [PDF]
Currently, deployment of UAV has transformed from crucial to day-to-day scenarios for various purposes such as wastage collection, live entertainment, product delivery, town mapping, etc. Object tracking based UAV applications such as traffic monitoring,
A. A. Micheal +3 more
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A Target Re-Identification Method Based on Shot Boundary Object Detection for Single Object Tracking
With the advantages of simple model structure and performance-speed balance, the single object tracking (SOT) model based on a Transformer has become a hot topic in the current object tracking field.
Bingchen Miao +3 more
doaj +1 more source
Hierarchical fuzzy logic based approach for object tracking [PDF]
In this paper a novel tracking approach based on fuzzy concepts is introduced. A methodology for both single and multiple object tracking is presented.
Couto, Pedro M. +3 more
core +1 more source
3D Single Object Tracking with Multi-View Unsupervised Center Uncertainty Learning
Center point localization is a major factor affecting the performance of 3D single object tracking. Point clouds themselves are a set of discrete points on the local surface of an object, and there is also a lot of noise in the labeling.
Chengpeng Zhong +4 more
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Semantic and context features integration for robust object tracking
Siamese network‐based object tracking learns features of a target object marked in the first frame and that of the object in subsequent frames simultaneously and then measures similarity between two features to recognize and locate the object.
Jinzhen Yao +3 more
doaj +1 more source
Generalized Kernel-based Visual Tracking [PDF]
In this work we generalize the plain MS trackers and attempt to overcome standard mean shift trackers' two limitations. It is well known that modeling and maintaining a representation of a target object is an important component of a successful visual ...
Kim, Junae, Shen, Chunhua, Wang, Hanzi
core +4 more sources

