Results 41 to 50 of about 119,312 (313)
Converting relational databases into object relational databases [PDF]
, 2010 This paper proposes an approach for migrating existing Relational DataBases (RDBs) into Object-Relational DataBases (ORDBs). The approach is superior to existing proposals as it can generate not only the target schema but also the data instances.
Ali, Akhtar +5 more
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Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2015 Object tracking is defined as the problem of estimating object location in image sequences. In general, the problems of object tracking in real time and complex environtment are affected by many uncertainty.
Dewa Made Wiharta +2 more
doaj +1 more source
Sequential Monte Carlo tracking by fusing multiple cues in video sequences [PDF]
, 2007 This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, edge and texture cues.
Mihaylova, L +5 more
core +1 more source
OmniTracker: Unifying Object Tracking by Tracking-with-Detection
CoRR, 2023 accepted by ...
Junke Wang +6 more
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Adaptive Tracking Algorithm Based on Specific Object Proposal [PDF]
Jisuanji gongcheng, 2019 Currently,most tracking algorithms use scale-traversing poor search strategy to cope with the scale changes of targets,but the tracking performance and efficiency are not satisfying.Therefore,we propose an adaptive tracking algorithm base on specific ...
HU Pan, QIAO Lin, XU Libo, YU Yuanqi, HAN Yonghui
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Dynamic Objectness for Adaptive Tracking [PDF]
, 2013 A fundamental problem of object tracking is to adapt to unseen views of the object while not getting distracted by other objects. We introduce Dynamic Objectness in a discriminative tracking framework to sporadically re-discover the tracked object based on motion. In doing so, drifting is effectively limited since tracking becomes more aware of objects
Stalder S., Grabner H., Van Gool L.
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The Complexity of Object Association in Multiple Object Tracking
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Object association, i.e., the identification of which observations correspond to the same object, is a central task for the area of multiple object tracking. Two prominent models capturing this task have been introduced in the literature: the Lifted Multicut model and the more recent Lifted Paths model.
Ganian, R, Hamm, T, Ordyniak, S
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International Journal of Computational Intelligence Systems, 2016 In the area of video surveillance, tracking model for multiple object video is still a challenging task since the objects are usually affected with inter-object occlusion, object confusion, different posing, environment with heavy clutter, small size of ...
Felix M. Philip, Rajeswari Mukesh
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Deep Reinforcement Learning Object Tracking Based on Actor-Double Critic Network
CAAI Artificial Intelligence Research, 2023 Aiming at the problem of poor tracking robustness caused by severe occlusion, deformation, and object rotation of deep learning object tracking algorithm in complex scenes, an improved deep reinforcement learning object tracking algorithm based on actor ...
Jing Xin +4 more
doaj +1 more source
Apes’ Tracking of Objects and Collections
Swiss Journal of Psychology, 2014 Recent research suggests that great apes are less vulnerable to cohesion violations than human infants are. In contrast to human infants, apes successfully track nonsolid substances or split solid objects through occlusion ( Cacchione & Call, 2010a ; Cacchione, Hrubesch, & Call, 2012 , 2013 ).
Cacchione, T. +2 more
openaire +3 more sources