is pleased to announce the launch of its Object Detection and Classification (ODC) solution, designed to enhance the accuracy and reliability of monitoring vessels and aircraft. This solution ...

ABSTRACT: Road traffic accidents are one of the global safety ... The first part of the machine learning analysis involves feature analysis using feature importance by random forest and partial ...

Abstract: In the realm of intelligent transportation systems, vehicle detection and classification stand as pivotal tasks. An effective traffic monitoring system ... the foreground elements are ...

Object classification is achieved through a Convolutional Neural Network (CNN ... vehicle detection and classification in aerial images, surpassing existing methods and offering notable improvements ...

Therefore, we present a deep learning technique based on the unified real-time object detection algorithm to estimate ... In addition, we examined the temporal traffic trend of the road segment and ...

Video object ... CNN-VAE architecture has been proposed for trajectory classification and anomaly detection. The results obtained using publicly available surveillance video datasets reveal that the ...

An example of visualization of the MNIST classification outcome using CNN ... the object. An example of the Google API for object detection on a new unseen image is shown in Fig. 5 and code ...