Results 61 to 70 of about 3,989 (204)
Multi-Sensor Multi-Target Tracking Using Probability Hypothesis Density Filter
IEEE Access, 2019 Compared with the single sensor tracking system, the multi-sensor tracking system has several advantages in target tracking, such as a larger field of view and higher tracking accuracy.
Long Liu +3 more
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Contemporary Accounting Research, EarlyView.ABSTRACT External audits enhance the credibility of financial statements and are a cornerstone of capital market integrity. However, the growing and complex auditing literature poses challenges for researchers. This survey synthesizes and critically evaluates archival audit research published in top accounting journals from 1995 to 2025, organizing ...
Clive Lennox, Chan Li, Yiqian Wang
wiley +1 more source
FISST Based Method for Multi-Target Tracking in the Image Plane of Optical Sensors
Sensors, 2012 A finite set statistics (FISST)-based method is proposed for multi-target tracking in the image plane of optical sensors. The method involves using signal amplitude information in probability hypothesis density (PHD) filter which is derived from FISST to
Dan Xu, Wei An, Hui Xu, Yang Xu
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Joint PHD Filter and Hungarian Assignment Algorithm for Multitarget Tracking in Low Signal-to-Noise Ratio [PDF]
Radioengineering, 2023 Multitarget tracking (MTT) for image processing in low signal-to-noise ratio (SNR) is difficult and computationally expensive because the distinction between the target and the background is small. Among the current MTT algorithms, Random Finite Set (RFS)
S. Xiao +4 more
doaj
British Journal of Educational Technology, EarlyView.Abstract This study explores the impact of robot–LLM (Large Language Model) integration on collaborative creative writing, focusing on how embodiment and AI creativity influence various aspects of creative output. A total of 150 undergraduate students participated in a structured experimental design with five collaboration conditions: Human–Human (HH),
Yuqing Liu, Yao Song
wiley +1 more source
EvolvED: Evolutionary Embeddings to Understand the Generation Process of Diffusion Models
Computer Graphics Forum, EarlyView.EvolvED visualises how diffusion models generate images by embedding intermediate outputs to preserve semantics and evolutionary structure. It supports analysis via (a) user‐defined goals and prompts, (b) sampling intermediate images, (c) extracting relevant features, and (d) visualising them in structured radial and rectilinear layouts for ...
Vidya Prasad +5 more
wiley +1 more source
, 2011 This paper presents a cardinalized probability hypothesis density (CPHD) filter for extended targets that can result in multiple measurements at each scan.
Granström, Karl, +2 more
core +1 more source
Adaptive grid‐driven probability hypothesis density filter for multi‐target tracking
IET Signal Processing, 2021 The probability hypothesis density (PHD) filter and its cardinalised version PHD (CPHD) have been demonstratedasa class of promising algorithms for multi‐target tracking (MTT) with unknown,time‐varying number of targets.
Jinlong Yang, Jiuliu Tao, Yuan Zhang
doaj +1 more source
, 2016 As a typical implementation of the probability hypothesis density (PHD) filter, sequential Monte Carlo PHD (SMC-PHD) is widely employed in highly nonlinear systems.
Xu Cong-An +5 more
core +1 more source
Investigating Performance and Practices with Univariate Distribution Charts
Computer Graphics Forum, EarlyView.Abstract A range of charts with different strengths and weaknesses exists to support the visual analysis of univariate distributions, with a limited understanding of which charts best support which tasks and users, and how practitioners use charts. We categorize the available charts for univariate distributions into four groups and present the results ...
L. Lotteraner +3 more
wiley +1 more source