Results 61 to 70 of about 4,392,511 (325)
Intracellular objects tracking
European Journal of Cell Biology, 2007 The tracking of intracellular organelles and vesicles is becoming increasingly important for understanding cellular dynamics. Originally, the development of tracking algorithms was mainly pursued in other fields, e.g. aerospace/military/street surveillance. However, most of this algorithm is not directly applicable to live cell microscopy data. Here we
openaire +3 more sources
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
doaj +1 more source
Interactive Multiple Object Tracking (iMOT)
PLoS ONE, 2014 We introduce a new task for exploring the relationship between action and attention. In this interactive multiple object tracking (iMOT) task, implemented as an iPad app, participants were presented with a display of multiple, visually identical disks which moved independently.
Thornton, Ian M. +4 more
openaire +7 more sources
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
CoMaL Tracking: Tracking Points at the Object Boundaries
, 2017 Traditional point tracking algorithms such as the KLT use local 2D information aggregation for feature detection and tracking, due to which their performance degrades at the object boundaries that separate multiple objects.
Mittal, Anurag +2 more
core +1 more source
Adaptive Objectness for Object Tracking
IEEE Signal Processing Letters, 2016 Object tracking is a long standing problem in vision. While great efforts have been spent to improve tracking performance, a simple yet reliable prior knowledge is left unexploited: the target object in tracking must be an object other than non-object.
Pengpeng Liang +4 more
openaire +2 more sources
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
doaj +1 more source
Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector
, 2018 Multiple object tracking (MOT) in urban traffic aims to produce the trajectories of the different road users that move across the field of view with different directions and speeds and that can have varying appearances and sizes.
B Coifman +7 more
core +1 more source
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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard +8 more
wiley +1 more source