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vehicle classification

Implementation Of Data Augmentation In Convolutional Neural Network And Gradient Boosted Classifier For Vehicle Classification

Implementation Of Data Augmentation In Convolutional Neural Network And Gradient Boosted Classifier For Vehicle Classification

... Abstract: the implementation of Gradient Boosted Classifier and Convolutional Neural Network in vehicle classification and detection for the intelligent Transport System that can provide vehicle ...

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Vehicle Classification with Convolutional Neural Network on Motion Blurred Images

Vehicle Classification with Convolutional Neural Network on Motion Blurred Images

... Vehicle classification and identification, also known as Vehicle Make and Model Recognition (MMR), is an important technique for Intelligent Traffic System (ITS), which detects vehicles from images ...

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Vehicle classification framework: a comparative study

Vehicle classification framework: a comparative study

... surveillance, vehicle detection and classification is important as it can help in traffic control and gathering of traffic statistics that can be used in intelligent transportation ...systems. ...

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Vehicle classification based on images from visible light and thermal cameras

Vehicle classification based on images from visible light and thermal cameras

... each vehicle as ...the classification by estimating the ratio of the width to the height of the headlight and the ...for vehicle classification, the accuracy of the classifier using thermal ...

9

Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification

Integrated Detection, Tracking and Recognition for IR Video-based Vehicle Classification

... Abstract— We present an approach for vehicle classification in IR video sequences by integrating detection, tracking and recognition. The method has two steps. First, the moving target is automatically ...

8

A Survey on CNN: Vehicle Classification and Number Plate Detection

A Survey on CNN: Vehicle Classification and Number Plate Detection

... vehicles. Vehicle classification in different group is required and it can be done like bus, sedan, truck, SUV, ...the vehicle for ...on vehicle side view ...either vehicle frontal or ...

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Bayesian Network Based Computer Vision Algorithm for Vehicle Classification from Incomplete Data

Bayesian Network Based Computer Vision Algorithm for Vehicle Classification from Incomplete Data

... to vehicle counts, a much large set of traffic parameters such as vehicle classifications, lane changes, ...detectors. Vehicle classification is important in the computation of the percentage ...

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FPGA Based Vehicle Classification System Using Binary Side Profile of the Vehicle

FPGA Based Vehicle Classification System Using Binary Side Profile of the Vehicle

... and classification data is used by traffic controlling authority to either improve traffic conditions on that road or provide an alternative in case of an excessive amount of ...the vehicle is required for ...

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Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review

Unmanned Aerial Vehicle Classification, Applications and Challenges: A Review

... The sole aim of precision agriculture is to apply optimum amount of input at the right time and place to make better products. Common practices of precision farming are the data collection and variability mapping of ...

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Multiple Kernel based KNN Classifiers for Vehicle Classification

Multiple Kernel based KNN Classifiers for Vehicle Classification

... Proposed classification method is compared with three other existing method background extraction based vehicle classifica- tion methods [29],SVDL method [1] and MVDL ...proposed classification ...

7

Development of a mobile vehicle classification system

Development of a mobile vehicle classification system

... As a requirement of the project, the system must be able to detect and classify vehicles in multiple lanes. The algorithm sorts through the detected axles to find the closest of all possible axles to the sensors. With ...

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Deep Learning Approach Model for Vehicle Classification using Artificial Neural Network 

Deep Learning Approach Model for Vehicle Classification using Artificial Neural Network 

... the vehicle detection and classification are the models utilized primarily for the vehicular traffic surveillance, data collection and relevant ...and classification models require the hierarchical ...

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Particle Swarm Optimization and Support Vector Machine for Vehicle Type Classification in Video Stream

Particle Swarm Optimization and Support Vector Machine for Vehicle Type Classification in Video Stream

... in vehicle classification on video ...the vehicle classification ...the vehicle dataset is suitable when using the input parameter of 10 ...of vehicle objects that are close ...

5

Cost Effective Ultrasonic Sensor Based Instrument for Vehicle Detection and Classification

Cost Effective Ultrasonic Sensor Based Instrument for Vehicle Detection and Classification

... of vehicle run at different speeds and consequently have a different effect on flow of ...the vehicle type can be captured alongside other parameters like traffic speed distribution and traffic density, the ...

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Automatic Vehicle Counting and Classification

Automatic Vehicle Counting and Classification

... for vehicle counting and classification has been taken up as projects by multiple industries and work is still going on to obtain a perfect system for the ...the vehicle detection and ...with ...

5

Prevention Techniques for Traffic Congestion Based On Intelligent Light Control and Deviation System

Prevention Techniques for Traffic Congestion Based On Intelligent Light Control and Deviation System

... Effective Vehicle Length ...the vehicle length based on the velocity of the ...a vehicle classification approach was proposed based on the hill pattern of magnetic signatures from a single ...

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Vehicle Acoustic Signal Classification Using Machine Learning Algorithms

Vehicle Acoustic Signal Classification Using Machine Learning Algorithms

... objects. Classification can be done using Machine Learning techniques where we train the machine with some training data whose labels are known and get the class or label of test data whose class is not ...

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Audio Classification on Passing Vehicles with Feedforward Neural Network

Audio Classification on Passing Vehicles with Feedforward Neural Network

... Recording sound is a straightforward process, but analyzing audio signal using a machine on behalf of a human is not as simple, and sometimes encounters unexpected difficulties. Even so, there are a lot of cases rely on ...

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Vehicle Detection and Car Type Identification System using Deep Learning and Unmanned Aerial Vehicle

Vehicle Detection and Car Type Identification System using Deep Learning and Unmanned Aerial Vehicle

... aerial vehicle) based traffic measurement system has various advantages than the traditional traffic monitoring systems using fixed loop ...of vehicle detection and type identification using Deep Learning ...

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Classification of Vehicle Types in Car Parks using Computer Vision Techniques

Classification of Vehicle Types in Car Parks using Computer Vision Techniques

... for vehicle classification and size measurement using the existing hardware of car ...type classification approach, an applicable accuracy of over 80 percent with up to 100 percent in certain cases ...

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