Results 251 to 260 of about 1,121,998 (275)

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   +3 more sources

A thorough study of the stability of PHD filters

Sensor Signal Processing for Defence (SSPD 2012), 2012
Mahler's PHD (Probability Hypothesis Density) filter provides a solution to multi-target tracking problems by jointly estimating the number of targets and their states through recursively propagating the state intensity function. However, the estimates of the intensity function and the number of targets comprise of an irreducible likelihood density ...
null Tiancheng Li, T.P. Sattar, null Zhanfang Zhao   +2 more
openaire   +1 more source

Noise-estimate Particle PHD filter

2014 World Automation Congress (WAC), 2014
This paper proposes a new radar tracking filter named Noise-estimate Particle PHD Filter (NP-PHDF). Kalman filter and particle filter are popular filtering techniques for target tracking. However, the tracking performance of the Kalman filter severely depends on the setting of several parameters such as system noise and observation noise. It is an open
Masanori Ishibashi, Yumi Iwashita, Ryo Kurazume   +2 more
openaire   +1 more source

A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters

Information Fusion, 2021
Franz Hlawatsch, Tiancheng Li
exaly  

Occlusion-robust online multi-object visual tracking using a GM-PHD filter with CNN-based re-identification

Journal of Visual Communication and Image Representation, 2021
Nathanael L Baisa
exaly  

A box-particle implementation of standard PHD filter for extended target tracking

Information Fusion, 2017
Hongbing Ji
exaly  

Development of a N-type GM-PHD filter for multiple target, multiple type visual tracking

Journal of Visual Communication and Image Representation, 2019
Nathanael L Baisa, Andrew Wallace
exaly  

Modified Gaussian inverse Wishart PHD filter for tracking multiple non-ellipsoidal extended targets

Signal Processing, 2018
Peng Li
exaly  

A Second-Order PHD Filter With Mean and Variance in Target Number

IEEE Transactions on Signal Processing, 2018
Jeremie Houssineau, Daniel Clark, Isabel Schlangen   +2 more
exaly  

Efficient importance sampling function design for sequential Monte Carlo PHD filter

Signal Processing, 2012
Du Yong Kim, Kuk-Jin Yoon
exaly