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Wireless sensor networks (WSNs) are well suited for environment monitoring. However, some highly specialized sensors (e.g. hydrological sensors) have high power demand, and without due care, they can exhaust the battery supply quickly. Taking measurements with this kind of sensors can also overwhelm the communication resources by far. One way to reduce the(More)
The last decade has witnessed exciting developments in multi-target tracking theory and practice. Mahler's finite set statistics (FISST) provides a general systematic foundation for multi-target tracking based on the theory of random finite set (RFS). The RFS framework has led to the development of novel and efficient multi-target Bayes filters and their(More)
— An algorithm for detection and tracking of multiple targets using bearings measurements from several sensors is developed. The algorithm is an implementation of a multiple hypothesis tracker with pruning of unlikely hypotheses. Tracking conditional on each hypothesis can be performed using any suitable filtering approximation. In this paper a(More)
A new approach to unsupervised Markov random field-based segmentation of Mr images. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this(More)
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