Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images

Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images

Real-time traffic monitoring based on artificial intelligence (AI) models is essential for efficient transportation management, but it faces significant computational challenges, particularly when processing high-resolution video footage. Modern traffic monitoring systems typically rely on AI-based...

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Bibliographic Details
Main Authors: Tewodros Syum Gebre, Eden Tsehaye Wasehun, Freda Elikem Dorbu, Gazali Oluwasegun Agboola, Ali Karimoddini, Leila Hashemi-Beni
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Adaptive input sampler
object detection
traffic monitoring
data reduction
computational efficiency
Online Access:https://ieeexplore.ieee.org/document/10965602/
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https://ieeexplore.ieee.org/document/10965602/

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