Results 41 to 50 of about 388,298 (300)
CollabMOT Stereo Camera Collaborative Multi Object Tracking
IEEE AccessThe recent advances in deep learning techniques enable 2D Multi-object tracking (MOT) to achieve remarkable performance over traditional methods. However, most 2D MOT algorithms primarily utilize only single-camera view.
Phong Phu Ninh, Hyungwon Kim
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Omnidirectional Multi-Object Tracking
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Accepted to CVPR 2025.
Luo, Kai +8 more
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Single and multiple object tracking using a multi-feature joint sparse representation [PDF]
, 2015 In this paper, we propose a tracking algorithm based on a multi-feature joint sparse representation. The templates for the sparse representation can include pixel values, textures, and edges. In the multi-feature joint optimization, noise or occlusion is
Hu, W. +3 more
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Correlation‐guided multi‐object tracking with correlation feature transfer
IET Computer Vision, 2019 Here, the authors propose a correlation‐guided Monte Carlo Markov chain (MCMC) solver to promote the efficiency for tracking multiple objects under recursive Bayesian filtering framework.
Jiatong Li, Yanjie Zhao, Zhiguo Jiang
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Robust Distributed Fusion with Labeled Random Finite Sets [PDF]
, 2017 This paper considers the problem of the distributed fusion of multi-object posteriors in the labeled random finite set filtering framework, using Generalized Covariance Intersection (GCI) method.
Battistelli, Giorgio +5 more
core +2 more sources
Parallel algorithm implementation for multi‐object tracking and surveillance
IET Computer Vision, 2016 A recently developed sparse representation algorithm, has been proved to be useful for multi‐object tracking and this study is a proposal for developing its parallelisation. An online dictionary learning is used for object recognition.
Mohamed Elbahri +3 more
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Robust Multi-object Tracking by Marginal Inference
, 2022 Multi-object tracking in videos requires to solve a fundamental problem of one-to-one assignment between objects in adjacent frames. Most methods address the problem by first discarding impossible pairs whose feature distances are larger than a threshold, followed by linking objects using Hungarian algorithm to minimize the overall distance.
Zhang, Yifu +4 more
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Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Multi-Object Tracking with Interacting Vehicles and Road Map Information
, 2018 In many applications, tracking of multiple objects is crucial for a perception of the current environment. Most of the present multi-object tracking algorithms assume that objects move independently regarding other dynamic objects as well as the static ...
Danzer, Andreas +2 more
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MOPT: Multi-Object Panoptic Tracking
, 2020 Comprehensive understanding of dynamic scenes is a critical prerequisite for intelligent robots to autonomously operate in their environment. Research in this domain, which encompasses diverse perception problems, has primarily been focused on addressing specific tasks individually rather than modeling the ability to understand dynamic scenes ...
Hurtado, Juana Valeria +3 more
openaire +2 more sources