Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Hocine, Chebi"'
Autor:
Hocine, Chebi, Benaissa, Abdelkader
Publikováno v:
Journal of Electrical Engineering & Technology; 20240101, Issue: Preprints p1-11, 11p
Autor:
Hocine Chebi
Publikováno v:
International Journal of Applied Evolutionary Computation. 12:21-34
The work presented in this paper aims to develop a new architecture for video surveillance systems. Among the problems encountered when tracking and classifying objects are groups of occluded objects. Simplifying the representation of objects leads t
Autor:
Hocine Chebi
Publikováno v:
International Journal of Computer Vision and Image Processing. 11:58-65
The low information consistency and serious interference caused by synthetic aperture radar (SAR) imaging characteristics and target attributes affect the accuracy of SAR image information description, which reduces the performance of SAR image regis
Autor:
Abdelkader Benaissa, Hocine Chebi
Publikováno v:
IETE Journal of Research. :1-12
Monitoring of high-density images from video sequences provides an important potential for crowd detection and classification. In fact, shadow presence from video sequences causes detection failure...
Publikováno v:
Algerian Journal of Signals and Systems. 1:99-108
The analysis of the human behavior from video is a wide field of the vision by computer. In this work, we are presenting mainly a new approach and method of detects behavior or abnormal events continuous of crowd in the case of the dangerous situatio
Autor:
Hocine Chebi
Publikováno v:
2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).
Autor:
Hocine Chebi
Publikováno v:
2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT).
Publikováno v:
International Journal of Applied Evolutionary Computation. 11:1-19
This article has addressed the problem of area coverage in surveillance camera networks using a minimum number of active sensors. The dense and random deployment of cameras creates many problems, among which the same portion of the area of interest i
Autor:
Hind Tabet-Derraz, Yassine Meraihi, Abdelkader Meroufel, Rafik Sayah, Hocine Chebi, Dalila Acheli, Abdelkader Benaissa
Publikováno v:
International Journal of Computer Vision and Image Processing. 10:24-41
The recognition and prediction of people's activities from videos are major concerns in the field of computer vision. The main objective of this article is to propose an adaptive global algorithm that analyzes human behavior from video. This problem
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