The proposed framwork integrates multiple advanced modules: RetinexNet for preprocessing, segmentation using HRNet to preserve high-resolution semantic information, and vehicle detection using the ...

Vehicle detection from unmanned aerial vehicle (UAV) imagery is one of the most important tasks in a large number of computer vision-based applications. This crucial task needed to be done with high ...

Meanwhile, Guo et al. (2022) created an improved vehicle tracking system that blends deep learning-based object detection techniques with the Hungarian algorithm for track association. This system ...

This programs explains how to train your own convolutional neural network (CNN) in object detection for multiple objects, starting from scratch. Using the tutorial one can identify and detect specific ...

The main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected ...