Results 21 to 30 of about 123,662 (246)
Shadow-resistant tracking in video [PDF]
2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003 In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, and this results in a falsely captured object shape, posing a severe difficulty for a pattern recognition task.
Hao Jiang 0007, Mark S. Drew
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Analisis Metode Kalman Filter, Particle Filter dan Correlation Filter Untuk Pelacakan Objek
Komputika, 2023 Object tracking is a challenging in computer vision. Object tracking is divided into two, which can be one object or several objects, depending on the object being observed.
Ridho Sholehurrohman +2 more
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Frontiers in Psychology, 2016 Background: Estimating engagement levels from postural micromovements has been summarized by some researchers as: increased proximity to the screen is a marker for engagement, while increased postural movement is a signal for disengagement or negative ...
Harry J Witchel +4 more
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ViCTer: A semi-supervised video character tracker
Machine Learning with Applications, 2023 Video character tracking problem refers to tracking certain characters of interest in the video and returning the appearing time slots for those characters.
Zilinghan Li +3 more
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Siam-Sort: Multi-Target Tracking in Video SAR Based on Tracking by Detection and Siamese Network
Remote Sensing, 2022 Shadows are widely used in the tracking of moving targets by video synthetic aperture radar (video SAR). However, they always appear in groups in video SAR images.
Hui Fang +3 more
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Vehicle detection and tracking in video [PDF]
Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2002 We present a scheme for vehicle detection and tracking in video. The proposed method effectively combines statistical knowledge about the class of vehicles with motion information. The unknown distribution of the image patterns of vehicles is approximately modeled using higher-order statistical information derived from sample images.
A. N. Rajagopalan 0001, Rama Chellappa
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Frontiers in Psychology, 2018 Honey bees display remarkable visual learning abilities, providing insights regarding visual information processing in a miniature brain. It was discovered that bees can solve a task that is generally viewed as spatial concept learning in primates ...
Marie Guiraud +4 more
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On The Stability of Video Detection and Tracking
CoRR, 2016 In this paper, we study an important yet less explored aspect in video detection and tracking -- stability. Surprisingly, there is no prior work that tried to study it. As a result, we start our work by proposing a novel evaluation metric for video detection which considers both stability and accuracy.
Hong Zhang, Naiyan Wang
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Object Tracking in Hyperspectral-Oriented Video with Fast Spatial-Spectral Features
Remote Sensing, 2021 This paper presents a correlation filter object tracker based on fast spatial-spectral features (FSSF) to realize robust, real-time object tracking in hyperspectral surveillance video.
Lulu Chen +6 more
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Video Target Tracking Method Based on GMS and FPME [PDF]
Jisuanji gongcheng, 2021 In video target tracking,mismatched feature points tend to cause reduction in the tracking performance.To address the problem,a video target tracking method using Feature Point Mismatch Elimination(FPME) is proposed on the basis of an existing method,GMS,
ZHANG Haitao, QIN Pengcheng
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