Results 81 to 90 of about 1,160,563 (325)
Distributed data association for multi-target tracking in sensor networks [PDF]
Associating sensor measurements with target tracks is a fundamental and challenging problem in multi-target tracking. The problem is even more challenging in the context of sensor networks, since association is coupled across the network, yet ...
Cetin, Mujdat +3 more
core +1 more source
Multi-target tracking algorithm based on PHD filter against multi-range-false-target jamming
Multi-range-false-target (MRFT) jamming is particularly challenging for tracking radar due to the dense clutter and the repeated multiple false targets. The conventional association-based multi-target tracking (MTT) methods suffer from high computational
Chen Tian, Y. Pei, Peng Hou, Zhao Qian
semanticscholar +1 more source
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani +6 more
wiley +1 more source
A multi-target tracking algorithm based on Gaussian mixture model
Since the joint probabilistic data association (JPDA) algorithm results in calculation explosion with the increasing number of targets, a multi-target tracking algorithm based on Gaussian mixture model (GMM) clustering is proposed.
S. Lili, C. Yunhe, Wenhua Wu, Li Yutao
semanticscholar +1 more source
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
Multi-Target, Multi-Camera Tracking
Albeit numerous techniques perform well in single camera following, multi-camera following stays a difficult issue with less consideration. DukeMTMC is an enormous scope, all around explained multi-camera following benchmark which gains extraordinary ground in this field.
openaire +2 more sources
Approximate Bayes multi‐target tracking smoother
An approximate Bayes multi‐target tracking (MTT) smoother that is directly applicable to MTT is proposed in this study. By using labelled random finite set, the proposed smoother inherently produced trajectories of the targets. The smoother is based on Bayes forward–backward smoothing scheme, which involves forward filtering followed by backward ...
Quan‐rui Li, Bin Qi, Guo‐long Liang
openaire +1 more source
Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios
In this work, we consider the problem of decentralized multi-robot target tracking and obstacle avoidance in dynamic environments. Each robot executes a local motion planning algorithm which is based on model predictive control (MPC).
Ahmad, Aamir +4 more
core +1 more source
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Variational Bayesian Inference for Multiple Extended Targets or Unresolved Group Targets Tracking
In this work, we propose a method for tracking multiple extended targets or unresolvable group targets in a clutter environment. First, based on the random matrix model (RMM), each target's joint kinematic–extent state is modelled as a gamma Gaussian ...
Yuanhao Cheng +4 more
doaj +1 more source

