We propose a sequential Monte Carlo data association algorithm based on a two-level computational framework for tracking varying number of interacting objects in dynamic scene. Fi...
Abstract— In this paper, a novel multiple target localization approach is proposed by exploiting the compressive sensing theory, which indicates that sparse or compressible signa...
ID uniqueness is essential in DHT-based systems as peer lookup and resource searching rely on IDmatching. Many previous works and measurements on Kad do not take into account that...
Jie Yu, Chengfang Fang, Jia Xu, Ee-Chien Chang, Zh...
It has been considered a fact that GPS performs too poorly inside buildings to provide usable indoor positioning. We analyze results of a measurement campaign to improve on the und...
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...