Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abimael Guzman‐Pando"'
Publikováno v:
IET Computer Vision, Vol 14, Iss 8, Pp 674-682 (2020)
This study proposes a new method to evaluate the performance of algorithms for moving object detection (MODA) in video sequences. The proposed method is based on human performance metric intervals, instead of ideal metric values (0 or 1) which are co
Externí odkaz:
https://doaj.org/article/6ebac422040d45dfb506f107e25e8443
Publikováno v:
Neural Processing Letters.
Publikováno v:
IET Computer Vision. 14:674-682
This study proposes a new method to evaluate the performance of algorithms for moving object detection (MODA) in video sequences. The proposed method is based on human performance metric intervals, instead of ideal metric values (0 or 1) which are co
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
Birds of prey especially eagles and hawks have a visual acuity two to five times better than humans. Among the peculiar characteristics of their biological vision are that they have two types of foveae; one shallow fovea used in their binocular visio
Publikováno v:
IEEE Latin America Transactions. 17:1771-1783
This paper presents a survey on dynamic object detection in video sequences. Many methods have been proposed during several years that intent to solve the problems of dynamic background, jittering, illumination changes, camouflage, among other. The s
Autor:
Juan A. Ramirez-Quintana, Graciela Ramirez-Alonso, Abimael Guzman-Pando, Mario I. Chacon-Murguia
Publikováno v:
Image and Vision Computing. 88:19-28
Nowadays, the amount of dynamic object detection in video sequences algorithms has increased considerably. Notwithstanding the many efforts to provide benchmarking resource, a standard methodology to achieve this evaluation does not exist. Most of th
Publikováno v:
FUZZ-IEEE
This paper presents a new motion detection algorithm called Fuzzy Gray Difference Histogram (FGDH). The method consists of three main stages. The first stage obtains the gray level differences of a pixel centered in a LxL window with respect to its n