Results 51 to 60 of about 223,064 (315)
Box-particle intensity filter [PDF]
, 2012 This paper develops a novel approach for multi-target tracking, called box-particle intensity filter (box-iFilter). The approach is able to cope with unknown clutter, false alarms and estimates the unknown number of targets. Furthermore, it is capable of
Gning, Amadou +11 more
core +1 more source
Fuzzy Interacting Multiple Model H $$\infty$$ ∞ Particle Filter Algorithm Based on Current Statistical Model [PDF]
, 2019 (#br)In this paper, fuzzy theory and interacting multiple model are introduced into H $$\infty$$ ∞ filter-based particle filter to propose a new fuzzy interacting multiple model H $$\infty$$ ∞ particle filter based on current statistical model.
Man Qi +11 more
core +1 more source
A Data Association Algorithm for Multiple Object Tracking in Video Sequences [PDF]
, 2006 This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the ...
N. Canagarajah +7 more
core +1 more source
FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
wiley +1 more source
Digital IIR filter design using particle swarm optimisation [PDF]
, 2010 Adaptive infinite-impulse-response (IIR) filtering provides a powerful approach for solving a variety of practical signal processing problems. Because the error surface of IIR filters is typically multimodal, global optimisation techniques are generally ...
Chen, Sheng, Luk, Bing L.
core
Autonomous crowds tracking with box particle filtering and convolution particle filtering [PDF]
Automatica, 2016 Autonomous systems such as Unmanned Aerial Vehicles (UAVs) need to be able to recognise and track crowds of people, e.g. for rescuing and surveillance purposes. Large groups generate multiple measurements with uncertain origin. Additionally, often the sensor noise characteristics are unknown but measurements are bounded within certain intervals.
Allan De Freitas +4 more
openaire +5 more sources
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Exact approximation of Rao-Blackwellised particle filters [PDF]
, 2012 Particle methods are a category of Monte Carlo algorithms that have become popular for performing inference in non-linear non-Gaussian state-space models.
Dancer, R. +7 more
core +1 more source
Molecular Oncology, EarlyView.Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat +8 more
wiley +1 more source
A convolution particle filtering approach for tracking elliptical extended objects [PDF]
, 2013 This paper proposes a convolution particle filtering approach for extended object tracking. Convolution particle filters (CPFs) are likelihood free filters. They are based on convolution kernel probability density representation.
Gning, Amadou +3 more
core