Peak occipital alpha frequency mediates the relationship between sporting expertise and multiple object tracking performance
Sign Up to like & getrecommendations! Published in 2024 at "Brain and Behavior"
DOI: 10.1002/brb3.3434
Abstract: Multiple object tracking (MOT) is often used as a lab‐based paradigm for investigating goal‐driven attention as an indicator for “real‐world” attention in tasks such as sport. When exploring MOT performance in the context of sporting… read more here.
Keywords: relationship sporting; object tracking; performance; multiple object ... See more keywords
Hyper-parameter optimization tools comparison for multiple object tracking applications
Sign Up to like & getrecommendations! Published in 2018 at "Machine Vision and Applications"
DOI: 10.1007/s00138-018-0984-1
Abstract: Commonly, an algorithm needs a certain number of variables that control its behavior. The optimal values result in a better performance that could generate profits for companies, make the algorithm stands out from similar applications… read more here.
Keywords: multiple object; hyper parameter; object tracking; parameter optimization ... See more keywords
Real-time multiple object tracking using deep learning methods
Sign Up to like & getrecommendations! Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-06391-y
Abstract: Multiple-object tracking is a fundamental computer vision task which is gaining increasing attention due to its academic and commercial potential. Multiple-object detection, recognition and tracking are quite desired in many domains and applications. However, accurate… read more here.
Keywords: real time; time multiple; object tracking; deep sort ... See more keywords
Multiple object tracking by reliable tracklets
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01418-3
Abstract: This paper proposes a novel network flow model for multi-target tracking, which uses short and highly reliable detection responses as the basic unit, namely the tracklet, in the model. Our model exploits the local information… read more here.
Keywords: tracking reliable; object tracking; reliable tracklets; multiple object ... See more keywords
A Novel Intuitionistic Fuzzy Clustering Algorithm Based on Feature Selection for Multiple Object Tracking
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-019-00645-7
Abstract: In this paper, a novel intuitionistic fuzzy clustering algorithm based on feature selection (IFC-FS) for multiple object tracking is proposed. In the proposed algorithm, the neighborhood rough set is used to achieve the adaptive selection… read more here.
Keywords: fuzzy clustering; intuitionistic fuzzy; novel intuitionistic; multiple object ... See more keywords
Algorithm for extracting multiple object waves without Fourier transform from a single image recorded by spatial frequency-division multiplexing and its application to digital holography
Sign Up to like & getrecommendations! Published in 2017 at "Optics Communications"
DOI: 10.1016/j.optcom.2017.06.060
Abstract: Abstract We propose a novel algorithm that does not require any Fourier transform to extract multiple object waves in a single image recorded with spatial frequency-division multiplexing. Smoothing is utilized to extract the desired object-wave… read more here.
Keywords: fourier transform; image; object waves; multiple object ... See more keywords
Distracting Tracking: Interactions Between Negative Emotion and Attentional Load in Multiple-Object Tracking
Sign Up to like & getrecommendations! Published in 2017 at "Emotion"
DOI: 10.1037/emo0000329
Abstract: Stimuli that attract exogenous attention have been shown to interfere with behavioral performance on various tasks. In the present study, participants performed multiple-object tracking (MOT) in conditions where either neutral or negatively valenced images were… read more here.
Keywords: attentional load; object tracking; emotional distraction; multiple object ... See more keywords
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-023-44718-y
Abstract: The honey bee is the most essential pollinator and a key contributor to the natural ecosystem. There are numerous ways for thousands of bees in a hive to communicate with one another. Individual trajectories and… read more here.
Keywords: segmentation; multiple object; honey bee; kalman filter ... See more keywords
EnhanceCenter for improving point based tracking and rich feature representation
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-88924-2
Abstract: In this study, we propose EnhanceCenter, a multiple-object tracking model that demonstrates enhanced tracking efficiency and stability while reducing dependencies on computationally intensive detectors. EnhanceCenter, based on the CenterTrack method, introduces three key improvements. First,… read more here.
Keywords: point based; enhancecenter; based tracking; multiple object ... See more keywords
How does colour predict multiple object tracking performance? The role of surface feature in attentive tracking
Sign Up to like & getrecommendations! Published in 2024 at "Visual Cognition"
DOI: 10.1080/13506285.2024.2389454
Abstract: ABSTRACT Simultaneously tracking multiple unique dynamic objects, such as watching soccer games, is common in everyday life. However, the role of intragroup and intergroup features in this cognitive process remains unclear. We set up different… read more here.
Keywords: role; object tracking; colour; performance ... See more keywords
Evaluating traffic trajectories from stationary multiple object tracking systems
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Location Based Services"
DOI: 10.1080/17489725.2025.2462830
Abstract: ABSTRACT Stationary multiple object tracking (MOT) systems beside the road infrastructure are increasingly used to acquire detailed trajectory data of traffic participants. While comprehensive methods for validating MOT algorithms have been previously proposed, there is… read more here.
Keywords: quality; stationary multiple; object tracking; multiple object ... See more keywords