Preprocessing Technique for Handling Environmental Variability in Vehicle Detection Model
Ekta Ukey and
Satishkumar L. Varma
International Journal of Scientific Research in Science and Technology, 2026, vol. 13, issue 4, 146-149
Abstract:
The input image of the original frame in the video for detecting and tracking vehicles may suffer from uneven illumination, low contrast, shadow effects, sensor noise and weather induced degradation. These issues reduce object visibility and negatively affect subsequent detection and tracking algorithms. Therefore the environmental preprocessing is done to improve the quality of video frames before vehicle detection and tracking. This minimizes the effects of illumination variations, noise, shadows, low visibility, and environmental disturbances, thereby improving the robustness of the subsequent detection and tracking modules.
Keywords: Vehicle Detection; Environmental; Preprocessing; Tracking; CLACHE; Contrast (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ijsrst.com/home/article/view/IJSRST2613422 Abstract page (text/html)
https://ijsrst.com/home/article/download/IJSRST2613422/IJSRST2613422 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v13:y2026:i4:id:1737
DOI: 10.32628/IJSRST2613422
Access Statistics for this article
More articles in International Journal of Scientific Research in Science and Technology from Technoscience Academy
Bibliographic data for series maintained by Pankaj Sharma ().