Results 41 to 50 of about 1,092,892 (308)
Distributed Multi-Target Tracking for Autonomous Vehicle Fleets [PDF]
IEEE International Conference on Robotics and Automation, 2020 We present a scalable distributed target tracking algorithm based on the alternating direction method of multipliers that is well-suited for a fleet of autonomous cars communicating over a vehicle-to-vehicle network.
O. Shorinwa +4 more
semanticscholar +1 more source
Multi-Target Tracking Using Hybrid Particle Filtering
2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1, 2005 We address the problem of multi-target tracking based on sequential Monte Carlo filtering for a visual access control application. Sequential Monte Carlo methods are very suitable for approximating posterior distributions for single target tracking applications.
Rittscher, J, Krahnstoever, N, Galup, L
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Research on detection and tracking methods of unmanned ship water targets based on light vision [PDF]
Zhihui kongzhi yu fangzhenThis study explores technical methods based on light vision to address the problem of target detection and tracking by surface unmanned ships in complex environments.
LIU Yibo, QIU Xinyu, WANG Tianhao, GAOYAN Xiusong, WANG Yintao
doaj +1 more source
, 2018 This paper proposes a novel joint multi-speaker tracking-and-separation method based on the generalized labeled multi-Bernoulli (GLMB) multi-target tracking filter, using sound mixtures recorded by microphones.
Lin, Shoufeng
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Multi-Target Tracking in Distributed Sensor Networks using Particle PHD Filters
, 2018 Multi-target tracking is an important problem in civilian and military applications. This paper investigates multi-target tracking in distributed sensor networks.
Leonard, Mark R., Zoubir, Abdelhak M.
core +1 more source
, 2020 Speaker following is a difficult assignment and for the most part no scientific arrangement is accessible, particularly for the multi-speaker following framework, which is a high dimensional and non-direct framework. To address this issue, likelihood theory thickness (PHD) filter is utilized by proliferating the PHD rather than the irregular limited ...
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Addressing Ambiguity in Multi-target Tracking by Hierarchical Strategy
, 2017 This paper presents a novel hierarchical approach for the simultaneous tracking of multiple targets in a video. We use a network flow approach to link detections in low-level and tracklets in high-level.
Liu, Liu, Qi, Hairong, Taalimi, Ali
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Sensors, 2022 Since the passive sensor has the property that it does not radiate signals, the use of passive sensors for target tracking is beneficial to improve the low probability of intercept (LPI) performance of the combat platform.
Lei Wei +4 more
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Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor
, 2015 In this paper, we focus on the two key aspects of multiple target tracking problem: 1) designing an accurate affinity measure to associate detections and 2) implementing an efficient and accurate (near) online multiple target tracking algorithm.
Choi, Wongun
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SensorsMost multi-target movements are nonlinear in the process of movement. The common multi-target tracking filtering methods directly act on the multi-target tracking system of nonlinear targets, and the fusion effect is worse under the influence of ...
Liu Wang +4 more
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