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Modelling of Objects Behaviour for Their Re-identification in Multi-camera Surveillance System Employing Particle Filters and Flow Graphs
Abstract
An extension of the re-identification method of modeling objects behavior in muti-camera surveillance systems, related to adding a particle filter to the decision-making algorithm is covered by the paper. A variety of tracking methods related to a single FOV (Field of Vision) are known, proven to be quite different for inter-camera tracking, especially in case of non-overlapping FOVs. The re-identification methods refer to the determination of the probability of a particular object’s identity recognized by a pair of cameras. An evaluation of the proposed modification of the re-identification method is presented in the paper, which is concluded with an analysis of some comparison results brought by the methods implemented with and without a particle filter employment.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Image Processing and Communications Challenges 10 strony 79 - 86
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Lisowski K., Czyżewski A.: Modelling of Objects Behaviour for Their Re-identification in Multi-camera Surveillance System Employing Particle Filters and Flow Graphs// Image Processing and Communications Challenges 10/ ed. Choraś M., Choraś R. Cham: , 2018, s.79-86
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-030-03658-4_10
- Verified by:
- Gdańsk University of Technology
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