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pro vyhledávání: '"Adrián Stácul"'
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 1 (2020)
In this paper we investigate the effectiveness of particle filters for object tracking in infrared videos. Once the user identifies the target object to be followed in position and size, its most representative feature points are obtained by means of
Externí odkaz:
https://doaj.org/article/d5f2c8fdd3784f238b8fe7d11af16939
Autor:
Edgardo Comas, Adrián Stácul
Publikováno v:
Digital Image Processing Applications ISBN: 9781839697944
Digital Image Processing Applications
Digital Image Processing Applications
In this chapter we describe the particle estimators and its effectiveness for tracking objects in video sequences. The particles estimators are specifically advantageous in transition state models and measurements, especially when these are non-linea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d94194cb74f978603e1afb9241087d
https://doi.org/10.5772/intechopen.99615
https://doi.org/10.5772/intechopen.99615
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 1 (2020)
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
In this paper we investigate the effectiveness of particle filters for object tracking in infrared videos. Once the user identifies the target object to be followed in position and size, its most representative feature points are obtained by means of