Wireless Sensor Networks (WSNs) is highly distributed network of small, lightweight wireless nodes. It monitors the environment or system by measuring physical parameters such as temperature, pressure, humidity. A wireless sensor network is a collection of nodes organized into a cooperative network. The existing presented Mobile sensor controller is used to measure the mobile target signal’s ti...

Multiple-target tracking (MTT) is a prerequisite step for radar surveillance systems. Data association is the key technique used in radar MTT systems. This paper presents a new approach for data association that uses both quantity data and image information. In order to combine these two attributes, a fusion algorithm based on the competitive Hopfield neural network (CHNN) is developed to match...

In this paper, we propose an approximate Bayesian computation approach to perform a multiple target tracking within a binary sensor network. The nature of the binary sensors (getting closer moving away information) do not allow the use of the classical tools (e.g. Kalman Filter, Particle Filer), because the exact likelihood is intractable. To overcome this, we use the particular feature of the ...

Multitarget tracking with highly maneuver and crossing track under dense-clutter environment is an emphasis in target tracking field. To effectively differentiate the measurement of cluster and target, and establish the relation between target and measurement, the data relation technologies are needed to keep the consistency of path tracking. When maneuvers happen to the target, a suitable moti...

Conventional video surveillance systems often have several shortcomings. First, target detection can’t be accurate under the light variation environment. Second, multiple target tracking becomes difficult on a crowd scene. Third, it is difficult to partition the tracked targets from a merged image blob. Finally, the tracking efficiency and precision are reduced by the inaccurate foreground dete...

To detect and locate the human target motion precisely, this paper intends to present a tracking algorithm based on pyroelectric sensor network and video analysis technologies. According to the advantages of pyroelectric sensor network system and video system, this paper uses weighted least squares to fuse the data which is collected by multiple heterogeneous sensor nodes to realize human targe...

Abstract: Multiple targets tracking with a GMTI is a challenging problem for the battlefield surveillance. A new algorithm is used in order to track multiple manoeuvring ground targets with road constraint. However, the case of nondetected targets due to the ground context is not tacking in account in the target tracking process. In this paper, we present our approach to track ground targets wi...

Successful multi-target tracking requires locating the targets and labeling their identities. For the multi-target tracking systems, the latter becomes more challenging when the targets frequently interact with each other. In this paper, we propose a method for multiple persons tracking using multiple cameras and floor sensors. Our method estimates 3D positions of human body and head, and label...

In recent years, the number of the cases of information leaks is increasing. Companies and Research Institutions make various actions against information thefts and security accidents. One of the actions is adoption of the crime prevention system, including the monitoring system by surveillance cameras. In order to solve difficulties of multiple cameras monitoring, we develop the automatic huma...