Results 31 to 40 of about 87,177 (263)
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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Confidence-Guided Frame Skipping to Enhance Object Tracking Speed
SensorsObject tracking is a challenging task in computer vision. While simple tracking methods offer fast speeds, they often fail to track targets. To address this issue, traditional methods typically rely on complex algorithms.
Yun Gu Lee
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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
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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
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
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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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High-Speed Tracking with Mutual Assistance of Feature Filters and Detectors
Sensors, 2023 Object detection and tracking in camera images is a fundamental technology for computer vision and is used in various applications. In particular, object tracking using high-speed cameras is expected to be applied to real-time control in robotics ...
Akira Matsuo, Yuji Yamakawa
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FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
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Biophysical approaches for studying viral entry
FEBS Letters, EarlyView.Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
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