Multiple radar systems represent an attractive option for target tracking because they can significantly enlarge the area coverage and improve both probability of trajectory detection localization accuracy. The presence multiple extended targets or weak is a challenge systems. Moreover, their performance may be severely deteriorated by regions characterized high clutter density. In this paper, ...

motion analysis and quality assessment of human sperm cell is of great importance for clinical applications of male infertility. sperm tracking is quite complex due to cell collision, occlusion and missed detection. the goal of this study is simultaneous tracking of multiple human sperm cells. in the first step in this research the frame difference algorithm is used for background subtraction. ...

This paper derives the optimal Bayesian processing of an out-of-sequence (OOS) set measurements in continuous-time for multiple target tracking. We consider a multi-target system modelled continuous time that is discretised at steps when we receive measurements, which are distributed according to standard point model. All information about this sampled provided by posterior density on all traje...

In this paper tracking multiple targets with multiple finite-resolution sensors is presented with emphasis on the measurement-to-track association with possibly unresolved measurements. Two data association algorithms are considered. The multiple scan data association problem is first formulated as a multidimensional assignment problem with explicit new constraints for the unresolved measuremen...

This paper presents an energy-aware, sleep scheduling algorithm called SSMTT to support multiple target tracking sensor networks. SSMTT leverages the awakening result of interfering targets to save the energy consumption on proactive wake-up communication. For the alarm message-miss problem introduced by multiple target tracking, we present a solution that involves scheduling the sensor nodes’ ...

Target detection and tracking is an important problem in the automatic surveillance system. This paper proposes a Combined Gaussian Hidden Markov Model based Kalman Filter (CGHMM-KF) scheme for tracking people in multiple camera sensor network for monitoring and tracking of target (person/vehicle) in secured area. To detect the target under different illumination conditions, HMM with Mixture of...

The problem of tracking and managing the identities of multiple targets is discussed and applied to the passive radar tracking of aircraft. The targets are assumed to be commercial aircraft switchingmodes during flight, and are thus well modeled by hybrid systems. We propose a computationally efficient algorithm based on joint probabilistic data association for target-measurement correlation. W...