[PDF] Top 20 Vision-based vehicle detection and counting system using deep learning in highway scenes
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Vision-based vehicle detection and counting system using deep learning in highway scenes
... high-definition vehicle object dataset from the perspective of surveillance cameras and proposed an object detection and tracking method for highway surveillance video ...end-to-end highway ... See full document
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A Vision based Vehicle Detection System
... computer vision, the higher level of understanding with the camera as a sensor involves the tasks such as: place recognition, scene understanding, object detection, object categorization and action ... See full document
11
Moving Vehicle Identification using Background Registration Technique for Traffic Surveillance
... many vision systems including automated visual surveillance and human-machine ...like vehicle identification and traffic flow ...for vision-based detection and counting of ... See full document
6
Curve Path Detection in Autonomous Vehicle using Deep Learning
... GPS based urban navigation system, based on the context awareness technique was used to detect the vehicles and fallow the lane boundaries ...the system that uses the low-energy inertial ... See full document
6
Preceding Vehicle Detection Method Based on Visual Fusion
... active learning, and then used binocular vision to obtain the depth information of the preceding vehicles ...binocular vision method to verify the preceding vehicles and the detection accuracy ... See full document
9
Quality Inspection of Tire using Deep Learning based Computer Vision
... This system measures the depth of tire treads using LabVIEW stereo vision and can determine the correct depth in the tread’s region of interested (ROI) using image processing for edge ...the ... See full document
5
An algorithm for highway vehicle detection based on convolutional neural network
... Previous work on Faster R-CNN only uses the last feature map to general candidate proposal, and it is not good enough for vehicle detection, because the vehicle scale change is larger. It is ... See full document
7
Automatic Object Detection and Collision Avoidance System using Cascaded Random Classifier
... Area-cover systems may be active or passive and can detect large animals, objects and humans within a certain range of a sensor. Active systems (i.e., microwave radar) constantly send a signal over an area and measure ... See full document
6
Computer vision and deep learning-enabled UAVs: proposed use cases for visually impaired people in a smart city
... object detection and capture, (2) segmentation, and (3) object recognition. Deep neural networks (DNNs) are used increasingly for object recognition, replacing previous machine learning algorithms ... See full document
8
Moving Vehicle Detection and Counting
... of vehicle analysis and counting for bi -directional roads in a real-time traffic surveillance system but it is not clear that how much it is perfect in the scenarios of increased traffic ...approach ... See full document
5
Vision Based Vehicle Detection for a Forward Collision Warning System
... hicles using the idealized constrains and the less rigorous constrains, respective- ...pre-trained learning threshold models, the thresholds of the length of small noise horizontal edge, the ratio ... See full document
12
A Survey on Intrusion Detection System using Machine Learning and Deep Learning
... Misuse-based detection techniques aim to detect already known attacks by using the signatures of these attacks ...detected based on misused technologies. Anomaly-based techniques study ... See full document
7
A Survey On Deep Learning Approaches For Vehicle And Number Plate Detection
... machine learning is one of it where the data is generalized from various sets of ...computer vision to identify, detect and classify the objects or entities in the given field of ...the vehicle ... See full document
6
Image Description Using Deep Neural Network
... Image description is description of the visual features of the contents in images. They describe elementary characteristics such as the shape, the color, the texture or the motion. It is sufficient for a human to point ... See full document
6
Deep Learning: A Vision for Computer
... These days, internet is countered as the significant part of the life. It is used by people for different purposes like business, education, entertainment etc. Internet is particularly used as an imperative component of ... See full document
6
Vehicle Detection And Counting From Unmanned Aerial Vehicle (UAV)
... that, vehicle theft cases are rapidly increasing. Therefore, we need a system which can help us to detect stolen vehicles so finding back stolen can be carried out more ... See full document
24
Deep Traffic learning: An automatic vehicle speed assisting tool based on the varying traffic conditions to ensure a safe driving
... of vehicle speed management by the driver in different traffic ...for vehicle speed assisting tool by continuous monitoring of traffic while ...are using popular deep learning technique ... See full document
6
A Comparative Analysis of Digital Image Processing Techniques on Real Time Traffic Control Systems
... controller using real time image processing ...analyzed using various edge detection and object counting methods to obtain the most efficient ...emergency vehicle detection ... See full document
6
Vehicle Distance Detection Using Monocular Vision and Machine Learning
... distance detection between vehicles already existing, with systems like ...warning system, automatic lane centering, and show what is in blind spots; as mentioned in ...a vehicle is traveling at a ... See full document
153
Object Detection, Segmentation & Counting using Deep Learning
... The vision group of people has fast enhanced object recognition and semantic division fallout all over a small duration of the moment. In huge section of these in advance has determined aside strong touchstone ... See full document
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