Resultats globals: 2 registres trobats en 0.02 segons.
Articles, 2 registres trobats
Articles 2 registres trobats  
1.
22 p, 1.3 MB Robust pedestrian detection and path prediction using mmproved YOLOv5 / Hajari, Kamal Omprakash (Yeshwantrao Chavan College of Engineering) ; Gawande, Ujwalla (Yeshwantrao Chavan College of Engineering) ; Golhar, Yogesh (St. Vincent Palloti College of Engineering and Technology)
In vision-based surveillance systems, pedestrian recognition and path prediction are critical concerns. Advanced computer vision applications, on the other hand, confront numerous challenges due to differences in pedestrian postures and scales, backdrops, and occlusion. [...]
2022 - 10.5565/rev/elcvia.1538
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 21 Núm. 2 (2022) , p. 40-61 (Regular Issue)  
2.
21 p, 1.0 MB Scale Invariant Mask R-CNN for Pedestrian Detection / Gawande, Ujwalla H. (Yeshwantrao Chavan College of Engineering (Maharashtra, Índia). Department of Information Technology) ; Hajari, Kamal Omprakash (Yeshwantrao Chavan College of Engineering (Maharashtra, Índia). Department of Information Technology) ; Golhar, Yogesh G. (R. H. Raisoni College of Engineering (Maharashtra, Índia). Department of Computer Science and Engineering)
Pedestrian detection is a challenging and active research area in computer vision. Recognizing pedestrianshelps in various utility applications such as event detection in overcrowded areas, gender, and gaitclassification, etc. [...]
2020 - 10.5565/rev/elcvia.1278
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 3 (2020) , p. 98-118 (Regular Issue)  

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1 Golhar, Yogesh G.
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