Results 291 to 300 of about 1,160,563 (325)

Particle PHD Filtering for Multi-Target Visual Tracking

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007
We propose a multi-target tracking algorithm based on the probability hypothesis density (PHD) filter and data association using graph matching. The PHD filter is used to compensate for miss-detections and to remove noise and clutter. This filter propagates the first order moment of the multi-target posterior (instead of the full posterior) to reduce ...
E. MAGGIO, E. PICCARDO, REGAZZONI, CARLO, A. CAVALLARO   +3 more
openaire   +2 more sources

Multi-target tracking method based on improved firefly algorithm optimized particle filter

Neurocomputing, 2019
Joint probabilistic data association-particle filter (JPDA-PF) algorithm is often used to solve the problem of data association in multi-target tracking, it has the advantages of particle filter in dealing with nonlinear and non-Gaussian systems, but at ...
Mengchu Tian, Y. Bo, Zhimin Chen, Panlong Wu, Cong Yue   +4 more
semanticscholar   +1 more source

Track probability hypothesis density filter for multi-target tracking

2011 IEEE RadarCon (RADAR), 2011
The probability hypothesis density (PHD) filter is a practical alternative to the theoretically optimal multi-target Bayesian filter based on random finite sets (RFS) for multi-target tracking. In this paper, we propose Track PHD (TPHD) filter based on a track state space consisted of target position history and it propagates the multi-target intensity
Yan Wang, Huadong Meng, Hao Zhang, Xiqin Wang   +3 more
openaire   +1 more source

Research on multi-target tracking technology based on machine vision

Applied Nanoscience, 2022
Dawei Yang
semanticscholar   +1 more source

Multi-target tracking for unmanned aerial vehicle swarms using deep reinforcement learning

Neurocomputing, 2021
Wenhong Zhou, Zhihong Liu, Jie Li, Xin Xu, Lincheng Shen   +4 more
semanticscholar   +1 more source

YOLOv3-MT: A YOLOv3 using multi-target tracking for vehicle visual detection

Applied intelligence (Boston), 2021
Kun Wang, M. Liu
semanticscholar   +1 more source

Efficient Multi-target Human Motion Tracking

2009 International Association of Computer Science and Information Technology - Spring Conference, 2009
Effective human motion tracking is necessary for all surveillance based biometric applications. Human motion being highly non-linear and non-modular is always difficult to track. To make it more challenging, in real scenarios, there are always multiple targets to be tracked. In this work particle filter based multiple targettracking system is proposed.
openaire   +1 more source

Online Multi-target Tracking for Pedestrian by Fusion of Millimeter Wave Radar and Vision

International Radar Conference, 2021
Fucheng Cui, Yuying Song, Jingxuan Wu, Zhouzhen Xie, Chunyi Song, Zhiwei Xu, Kai Ding   +6 more
semanticscholar   +1 more source

Multi-Agent Reinforcement Learning Aided Intelligent UAV Swarm for Target Tracking

IEEE Transactions on Vehicular Technology, 2022
Zhaoyue Xia, Jun Du, Jingjing Wang
exaly  

Distributed Audio-Visual Multi-Target Tracking

Using audio-visual (AV) sensory data captured by distributed sensors for multi-target tracking has garnered research interest, which has potential applications in speech recognition, human-machine interaction, and surveillance. A recent audio-visual tracking method, i.e.
openaire   +1 more source