Traffic monitoring is key to modern city planning. However, the costs associated with devices limit large-scale deployment of existing traffic systems. In this article, we propose and evaluate an algorithm automatically count number vehicles that have passed through a low-cost system for monitoring. The uses deviations in Wi-Fi signals strength predict presence vehicle on road its type (car, bu...

This Abstract-Paper presents an innovative approach to improve the performance of vehicle detection and classification in context computer vision. study proposes use Region Interest (ROI) identify process information traffic images. The proposed method is based on a combination deep learning-based object algorithms with more focused ROI-based approach. First, we state-of-the-art convolution neu...

Like computer vision before, remote sensing has been radically changed by the introduction of deep learning and, more notably, Convolution Neural Networks. Land cover classification, object detection and scene understanding in aerial images rely more and more on deep networks to achieve new state-of-the-art results. Recent architectures such as Fully Convolutional Networks can even produce pixe...

The detection of the objects in ariel image has a significant impact on field parking space management, traffic management activities and surveillance systems. Traditional vehicle algorithms have some limitations as these are not working with complex background small size object bigger scenes. It is observed that researchers facing numerous problems classification, i.e., complicated background,...

Given that biological motion is both detected and preferred early in life, we tested the hypothesis that biological motion might be instrumental to infants' differentiation of animate and inanimate categories. Infants were primed with either point-light displays of realistic biological motion, random motion, or schematic biological motion of an unfamiliar shape. After being habituated to these ...

Next generation vehicles will provide powerful connectivity and telematics services, enabling many new applications of vehicle communication. We will in this paper study the opportunities of performing remote vehicle diagnostics, where the diagnostic tool (test equipment) and the vehicle are separated by an internetwork, e.g. the Internet. The development of a prototype system for remote vehicl...