Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Aminou Halidou"'
Autor:
Ange Joel Nounga Njanda, Jocelyn Edinio Zacko Gbadoubissa, Emanuel Radoi, Ado Adamou Abba Ari, Roua Youssef, Aminou Halidou
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200095- (2024)
This study aims to detect and count people using impulse radio ultra-wideband radar and machine learning algorithms. However, the data quality, difficulty distinguishing human signals from noise and clutter, and instances where human presence is not
Externí odkaz:
https://doaj.org/article/6ab37be4ad1d412d8d4ae4c7ed9b5332
Publikováno v:
Multimedia Tools and Applications.
Publikováno v:
Applied Intelligence
In the past few months, several works were published in regards to the dynamics and early detection of COVID-19 via mathematical modeling and Artificial intelligence (AI). The aim of this work is to provide the research community with comprehensive o
Publikováno v:
International Journal of Computer Applications. 168:3-10
Autor:
Aminou Halidou, Xinge You, Laye Hadji Diakite, Mahamadou Hamidine, Souleimanou, Roger Atsa Etoundi
Publikováno v:
Computers & Electrical Engineering. 40:375-389
Display Omitted We introduced a new ROI method, it decreases computational cost and improve detection speed.We improved the images edges within the candidate region using non-tensor product wavelet filter.We used full-body descriptor based on shapele
Publikováno v:
Computer and Information Science. 7
Nowadays pedestrian detection plays an important role in security and driving assistance. Detecting moving object is complex, and some of the detection methods are comparatively ineffective and slow. In relation to human detection it is very useful t
Autor:
Aminou Halidou, Xinge You
Publikováno v:
WOCC
This paper presents a pedestrian detection approach based on Multi-block Local Binary Pattern (MB-LBP) features and Weighted Region Covariance Matrix (WRCM). Multistage classifiers are used to increase the processing speed and reliability of the dete