Results 31 to 40 of about 1,309 (169)
Set JPDA Filter for Multitarget Tracking [PDF]
In this article, we show that when targets are closely spaced, traditional tracking algorithms can be adjusted to perform better under a performance measure that disregards identity. More specifically, we propose an adjusted version of the joint probabilistic data association (JPDA) filter, which we call set JPDA (SJPDA). Through examples and theory we
Lennart Svensson +3 more
openaire +1 more source
A probabilistic hypothesis density filter for traffic flow estimation in the presence of clutter [PDF]
Prediction of traffic flow variables such as traffic volume, travel speed or travel time for a short time horizon is of paramount importance in traffic control.
Romain Billot +9 more
core +1 more source
Fish Tracking and Counting Method Based on Horizontal Similarity Matching Mechanism [PDF]
Multitarget accurate fish counting is crucial for the intelligent monitoring of water ecology and the intensive cultivation industry, playing a significant role in the protection of aquatic ecological environments and the modernization of fish farming ...
FANG Bin, ZOU Qingqing, JU Haofei, BAO Jianghui, DUAN Rui, ZHANG Dongxu, Lü Huafei, WANG Xiang, XU Pengfei, DUAN Ming
doaj +1 more source
Multitarget tracking technology is the core topic in the field of intelligent driving. Multi-target complex manoeuvring, measurement outliers and unknown environmental prior parameters strongly affect the tracking accuracy of the target state. To address
Guoxin Han +5 more
doaj +1 more source
Multitarget Tracking Using One Time Step Lagged Delta-Generalized Labeled Multi-Bernoulli Smoothing
Aiming at improving the tracking performance of the delta-generalized labeled multi-Bernoulli (δ-GLMB) filter, we present a one time step lagged δ-GLMB smoother in this work, which also inherently outputs targets trajectories and differs ...
Guolong Liang +3 more
doaj +1 more source
Feature Tracking for Target Identification in Acoustic Image Sequences
This paper proposes underwater target identification with local features and a feature tracking algorithm for acoustic image sequences. Feature detectors and descriptors are key to feature tracking.
Jue Gao, Ya Gu, Peiyi Zhu
doaj +1 more source
A Labeled GM-PHD Filter for Explicitly Tracking Multiple Targets
In this study, an explicit track continuity algorithm is proposed for multitarget tracking (MTT) based on the Gaussian mixture (GM) implementation of the probability hypothesis density (PHD) filter. Trajectory maintenance and multitarget state extraction
Yiyue Gao +3 more
doaj +1 more source
V2V Communications in Automotive Multi-sensor Multi-target Tracking
Today’s automotive sensor systems for in-vehicle based target tracking, i.e. radar, lidar, camera, are limited to a field of view which is restricted by distance, angle and line-of-sight.
Strang, Thomas +5 more
core +1 more source
Probability hypothesis density filtering for real-time traffic state estimation and prediction [PDF]
The probability hypothesis density (PHD) methodology is widely used by the research community for the purposes of multiple object tracking. This problem consists in the recursive state estimation of several targets by using the information coming from an
El Faouzi, Nour Eddin +9 more
core +1 more source
Distributed Multisensor Multitarget Tracking Algorithm with Time-Offset Registration
In multisensor systems, the signal processing delay, measurement acquisition delay, and other factors will lead to imprecisely time-stamped measurements, namely, the problem of time-offset.
doaj +1 more source

