Results 21 to 30 of about 586,693 (333)
Multi-detector Fusion-based Depth Correlation Filtering Video Multi-target Tracking Algorithm [PDF]
Jisuanji kexue, 2022 In the detection and tracking task,the detector has mis-detected and missed targets.For video multi-target tracking algorithms that rely on detection information,there will be a large number of false tracking targets and missed targets.Such missed and ...
SHEN Xiang-pei, DING Yan-rui
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Automatic Parameter Adaptation for Multi-object Tracking [PDF]
, 2013 Object tracking quality usually depends on video context (e.g. object occlusion level, object density). In order to decrease this dependency, this paper presents a learning approach to adapt the tracker parameters to the context variations. In an offline
Bremond, François +2 more
core +4 more sources
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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On Pairwise Costs for Network Flow Multi-Object Tracking [PDF]
, 2015 Multi-object tracking has been recently approached with the min-cost network flow optimization techniques. Such methods simultaneously resolve multiple object tracks in a video and enable modeling of dependencies among tracks.
Chari, Visesh +3 more
core +1 more source
Expanding the toolbox for nanoparticle trapping and spectroscopy with holographic optical tweezers [PDF]
, 2012 We have developed a workstation based on holographic tweezers to optically trap, move and characterize metal nanoparticles. Our advanced darkfield imaging system allows us to simultaneously image and take spectra of single trapped metal nanoparticles. We
Dienerowitz, F. +3 more
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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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Comparison of fusion methods for thermo-visual surveillance tracking [PDF]
, 2006 In this paper, we evaluate the appearance tracking performance of multiple fusion schemes that combine information from standard CCTV and thermal infrared spectrum video for the tracking of surveillance objects, such as people, faces, bicycles and ...
Cooke, Eddie +3 more
core +2 more sources
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
doaj +1 more source
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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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
doaj +1 more source