Results 21 to 30 of about 49,655 (250)

Deep Feature Based Siamese Network for Visual Object Tracking

Energies, 2022
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

System Analysis Approach to Visual Object Tracking

Sukkur IBA Journal of Emerging Technologies, 2020
In the modern-day study of system behaviour and analysis, understanding the response of how the system will behave in a certain condition is considered vital.
Obaid Ahmed Khan, Muhammad Ahmed Saeed
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Tracking-by-Segmentation Using Superpixel-Wise Neural Network

IEEE Access, 2018
A tracking-by-segmentation algorithm, which tracks and segments a target object in a video sequence, is proposed in this paper. In the first frame, we segment out the target object in a user-annotated bounding box.
Se-Ho Lee, Won-Dong Jang, Chang-Su Kim
doaj   +1 more source

Global Context Attention for Robust Visual Tracking

Sensors, 2023
Although there have been recent advances in Siamese-network-based visual tracking methods where they show high performance metrics on numerous large-scale visual tracking benchmarks, persistent challenges regarding the distractor objects with similar ...
Janghoon Choi
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The Visual Object Tracking VOT2015 Challenge Results [PDF]

2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 2015
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Comparative Object Similarity Learning-Based Robust Visual Tracking

IEEE Access, 2019
Tracking-by-detection for visual object tracking is the most popular and successful framework at present. It treats the tracking problem as a classification task and learns information about the target from each tracking result online.
Weiming Yang, Yuliang Liu, Quan Zhang, Yelong Zheng   +3 more
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Conditional random field tracking model based on a visual long short term memory network

Journal of Electronic Science and Technology, 2020
In dense pedestrian tracking, frequent object occlusions and close distances between objects cause difficulty when accurately estimating object trajectories.
Pei-Xin Liu, Zhao-Sheng Zhu, Xiao-Feng Ye, Xiao-Feng Li   +3 more
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Confidence-Guided Frame Skipping to Enhance Object Tracking Speed

Sensors
Object 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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Visual tracking with multilevel feature, similarity attention, color constraint, and global redetection

International Journal of Advanced Robotic Systems, 2021
Visual tracking is fundamental in computer vision tasks. The Siamese-based trackers have shown surprising effectiveness in recent years. However, two points have been neglected: firstly, few of them focus on fusing the image level and semantic level ...
Song Guiling, Zhang Jingyi, Xue Feng, Lu Ru, Yang Qin, Ming Anlong   +5 more
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Spatio-temporal interactive fusion based visual object tracking method

Frontiers in Physics, 2023
Visual object tracking tasks often struggle with utilizing inter-frame correlation information and handling challenges like local occlusion, deformations, and background interference.
Dandan Huang, Siyu Yu, Jin Duan, Yingzhi Wang, Anni Yao, Yiwen Wang, Junhan Xi   +6 more
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