We consider the challenging problem of tracking multiple objects using a distributed network sensors. In practical setting nodes with limited field views (FoVs), computing power and communication resources, we develop novel multi-object algorithm. To accomplish this, first formalise concept label consistency, determine sufficient condition to achieve it \textit{label consensus approach} that re...

In this article, we study convex optimization problems where agents of a network cooperatively minimize the global objective function which consists multiple local functions. The intention work is to solve large-scale complicated, and numerous. Different from most existing works, each agent presented as average finite instantaneous Integrating gradient tracking algorithm with stochastic averagi...

This paper studies the multitarget tracking problem based on an asynchronous network of sensors with different sampling rates, where each sensor runs a cardinalized probability hypothesis density (CPHD) filter. To fuse filter estimates obtained at conditioned measurements, arithmetic averaging approach is recursively carried out in timely manner according to network-wide time sequence. The inte...

This paper presents an in-depth study and analysis of the localization tracking multiple targets in soccer training using a distributed intelligent sensor approach. An event-triggered mechanism is used to drive acoustic array sensors network, which solves problem increased communication load caused by frequent microphones effectively reduces between as well energy consumption network. By design...

While traditional database systems optimize for performance on one-shot query processing, emerging largescale monitoring applications require continuous tracking of complex data-analysis queries over collections of physically-distributed streams. Thus, effective solutions have to be simultaneously space/time efficient (at each remote monitor site), communication efficient (across the underlying...

As networks of video cameras are being installed in many applications, modeling and inference strategies in video networks have captured more and more interest. There are many challenge problems, such as (i) traditional computer vision challenges in tracking and recognition, robustness to pose, illumination, occlusion, clutter; recognition of objects and activities; (ii) aggregating local infor...

The distributed tracking problem is investigated for a class of multi-agent systems with high-order stochastic nonlinear dynamics where the subsystem of each agent is driven by inherent nonlinear drift and diffusion terms. For the case where the graph topology is directed and the leader is the neighbor of only a small portion of followers, a new distributed integrator backstepping design method...