Abstract

To address the challenge of congestion, we propose a system that estimates the state of the road. To do that, we must be gone through several steps. In this work, we will present the first and the important step to estimate the vehicle flow; this later helps us to count the vehicles using the virtual line. Generally, we start with the background subtraction to isolate moving objects. To facilitate crossing of vehicles with the line, we apply the detection of objects. Our system uses the K-nearest neighbor (KNN) as a method to subtract the background, in order to apply our counting algorithm.

Keywords:
Background subtraction Computer science Line (geometry) Real-time computing State (computer science) k-nearest neighbors algorithm Artificial intelligence Computer vision Algorithm Mathematics

Metrics

16
Cited By
1.16
FWCI (Field Weighted Citation Impact)
7
Refs
0.78
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Autonomous Vehicle Technology and Safety
Physical Sciences →  Engineering →  Automotive Engineering
Advanced Neural Network Applications
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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