This paper analyzes the behavior of a variety of tracking algorithms for single-layer threshold networks in the presence of random drift. We use a system identification model to model a target network where weights slowly change and a tracking network. Tracking algorithms are divided into conservative and nonconservative algorithms. For a random drift rate of , we find upper bounds for the gene...

Object tracking is widely used in many applications such as intelligent surveillance, scene understanding, and behavior analysis. Graph-based semisupervised learning has been introduced to deal with specific tracking problems. However, existing algorithms following this idea solely focus on the pairwise relationship between samples and hence could decrease the classification accuracy for unlabe...

A cooperative detection and model-free tracking algorithm, referred to as CDT, for multiple object tracking is proposed in this work. The proposed CDT algorithm has three components: object detector, forward tracker, and backward tracker. First, the object detector detects targets with high confidence levels only to reduce spurious detection and achieve a high precision rate. Then, each detecte...

This paper introduces a multi-hypothesis multistatic sonar tracker for undersea surveillance. Multistatic sonar increases the data rate and has the potential to improve surveillance capabilities, provided effective target tracking is performed. Our multihypothesis tracker includes features not generally found in other multi-hypothesis trackers. Data association is based on an efficient linear p...

The ability to recognize faces is a crucial element for human-robot interaction. In this paper, we present an algorithm for mobile robots to detect, track and recognize human faces accurately, even when humans go through different illumination conditions. We track faces using a tracker that combines the algorithm of an adaptive correlation filter with a Viola-Jones object detection. This tracke...

The high contrast and lack of ionizing radiation, renders Magnetic Resonance Imaging (MRI) a suitable modality for continuous intra-operative imaging. Tracking the motion of key locations in cardiac MRI is of paramount importance in control and guidance in emerging robot-assisted interventions. Tracking can also be used to assess myocardial wall motion for diagnostic purposes. This article pres...

A new fuzzy maximum power point tracker (MPPT) for photovoltaic systems is proposed. Fuzzy controller input parameters dI dP , ) dI dP ( D and variation of duty cycle ( DC D ) are used to generate the optimal MPPT converter duty cycle, such that solar panel maximum power is generated under different operating conditions. A photovoltaic system including a solar panel, a fuzzy MPP tracker and...

In this paper a novel approach for detecting unknown target maneuver using range rate information is proposed based on the generalized Page’s test with the estimated target acceleration magnitude. Due to the high nonlinearity between the range rate measurement and the target state, a measurement conversion technique is used to treat range rate as a linear measurement in Cartesian coordinates so...

Thermal InfraRed (TIR) target trackers are easy to be interfered by similar objects, while susceptible the influence of occlusion. To solve these problems, we propose a structural target-aware model (STAMT) for thermal infrared tracking tasks. Specifically, proposed STAMT tracker can learn model, which add more attention area accurately identify from objects. In addition, considering situation ...