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      Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference 

      Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras

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      Springer International Publishing

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          Caffe

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            Is Open Access

            A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking

            We review some advances of the particle filtering (PF) algorithm that have been achieved in the last decade in the context of target tracking, with regard to either a single target or multiple targets in the presence of false or missing data. The first part of our review is on remarkable achievements that have been made for the single-target PF from several aspects including importance proposal, computing efficiency, particle degeneracy/impoverishment and constrained/multi-modal systems. The second part of our review is on analyzing the intractable challenges raised within the general multitarget (multi-sensor) tracking due to random target birth and termination, false alarm, misdetection, measurement-to-track (M2T) uncertainty and track uncertainty. The mainstream multitarget PF approaches consist of two main classes, one based on M2T association approaches and the other not such as the finite set statistics-based PF. In either case, significant challenges remain due to unknown tracking scenarios and integrated tracking management.
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              A polarity analysis framework for Twitter messages

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                Author and book information

                Book Chapter
                2019
                January 09 2019
                : 457-464
                10.1007/978-3-319-99608-0_64
                cac70f6b-2e38-4c4e-b70e-26b1a966d721
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