Performance Evaluation of Visual Tracking Algorithms on Video Sequences With Quality Degradation
IEEE Access, 2017 Recently, there are lots of visual tracking algorithms proposed to improve the performance of object tracking in video sequences with various real conditions, such as severe occlusion, complicated background, fast motion, and so on.
Yuming Fang +5 more
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PEMROSESAN SINYAL ANALOG AUDIO VIDEO UNTUK TRACKING ANTENNA SYSTEM PADA SET TOP BOX DVB-T2
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2019 Penelitian ini membahas tentang tracking antenna system dengan kemampuan auto-tracking yang didesain untuk Set Top Box DVB-T2. Tracking antenna system membutuhkan parameter input yang harus didapat secara plug and play.
Herti Miawarni +2 more
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New machine learning-based automatic high-throughput video tracking system for assessing water toxicity using Daphnia Magna locomotory responses. [PDF]
Sci Rep, 2023 Kim J +7 more
europepmc +3 more sources
New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time [PDF]
eLifeidTracker and idtracker.ai approach multi-animal tracking from video as an image classification problem. For this classification, both rely on segments of video where all animals are visible to extract images and their identity labels.
Jordi Torrents +2 more
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Survey on Video Object Tracking Algorithms [PDF]
Jisuanji kexue yu tansuo, 2022 Video object tracking is an important research content in the field of computer vision, mainly studying the tracking of objects with interest in video streams or image sequences.
LIU Yi, LI Mengmeng, ZHENG Qibin, QIN Wei, REN Xiaoguang
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Integrating real-time data analysis into automatic tracking of social insects [PDF]
Royal Society Open Science, 2021 Automatic video tracking has become a standard tool for investigating the social behaviour of insects. The recent integration of computer vision in tracking technologies will probably lead to fully automated behavioural pattern classification within the ...
Alessio Sclocco +3 more
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Video Tracking Method Using Multi-granularity Correlation Filters [PDF]
Jisuanji gongcheng, 2020 Video tracking is an important direction in research of computer vision.Many tracking algorithms achieve high performance by integrating multiple types of features,but most of them fail to fully exploit the granularity relationship between multiple ...
SHEN Zejun, DING Feifei, YANG Wenyuan
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ANALISIS PERCEPATAN GRAVITASI BERBASIS VIDEO TRACKING PADA AYUNAN BANDUL
Jurnal Kumparan Fisika, 2022 ABSTRAK Penelitian ini bertujuan untuk menentukan percepatan gravitasi bumi lokal berbasis video tracking pada ayunan bandul sederhana. Penelitian ini menggunakan video pada eksperimen ayunan bandul sederhana.
Yolanita MurniatY Elot +4 more
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Kinovea analysis of high-speed video recording to determine kinematics of double pendulum in the long time scale [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 Measurement of position and velocity of rotating objects relies on installation of additional devices, which can significantly change their dynamic properties. Non-contact methods appear not to have the above-mentioned drawback.
Jerzy Wojewoda
doaj +1 more source
Human Segmentation and Tracking Survey on Masks for MADS Dataset
Sensors, 2021 Human segmentation and tracking often use the outcome of person detection in the video. Thus, the results of segmentation and tracking depend heavily on human detection results in the video.
Van-Hung Le, Rafal Scherer
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