Vehicle Tracking and Speed Measurement system (VTSM) based on novel feature descriptor: Diagonal Hexadecimal Pattern (DHP)

Jeyabharathi, D.; Dejey, D

doi:10.1016/j.jvcir.2016.08.011

Cited by 24 publications

(29 citation statements)

References 29 publications

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“…Terdapat beberapa penelitian terdahulu mengenai pengolahan video untuk deteksi, pelacakan hingga estimasi kecepatan kendaraan bergerak beserta metodenya masing-masing. Metode yang pernah dilakukan contohnya gray constraint optical flow [1], euclidean distance [2], diagonal hexadecimal pattern (DHP) [3], mean filter (CVS) [4], motion vector [5] dan lain-lain.…”

Section: Pendahuluanunclassified

Estimasi Kecepatan Kendaraan Bergerak Menggunakan Motion Vector

Sukabhakti

Sulistyaningrum

2019

JSSITS

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Intelligent Transportation System (ITS) adalah penerapan teknologi informasi dan komunikasi pada bidang transportasi. Teknologi dan aplikasi ITS memantau kondisi lalu lintas pada ruas jalan melalui video hasil rekaman kamera CCTV yang dipasang di ruas jalan. Informasi dari video lalu lintas kemudian diolah sehingga menghasilkan informasi terkait lalu lintas tersebut seperti banyak kendaraan dan kecepatan kendaraan. Informasi kecepatan kendaraan kemudian diestimasi dan dimanfaatkan nantinya untuk kebijakan pengembangan lalu lintas dan pengaturan lalu lintas. Pada Studi ini dilakukan estimasi kecepatan kendaraan bergerak menggunakan motion vector. Penelitian dilakukan dalam beberapa langkah yaitu akuisisi video dan pengaturan parameter, pembuatan region of interest pada video, ekstraksi citra frame video, preprocessing citra, menentukan motion vector dengan three-step search block-matching algorithm, penyeleksian motion vector, dan penghitungan kecepatan kendaraan. Dari uji coba yang sudah dilakukan, motion vector mampu melakukan estimasi kecepatan kendaraan bergerak dengan akurasi terburuk 92.6194 % pada kecepatan 20 Km/jam dan terbaik 96.5582 % pada kecepatan 30 Km/jam.

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Section: Pendahuluanunclassified

Estimasi Kecepatan Kendaraan Bergerak Menggunakan Motion Vector

Sukabhakti

Sulistyaningrum

2019

JSSITS

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“…D.Jeybharathi and Dr. D Dejey [5] derived a method for background subtraction using texture patterns. Generally local patterns (Binary and ternary) are generated using two directional codes [5].…”

Section: A Background Subtractionmentioning

confidence: 99%

“…Generally local patterns (Binary and ternary) are generated using two directional codes [5]. Local Tetra Pattern uses four direction code for extracting pattern feature [5].In Diagonal Hexadecimal Pattern, uniform pattern in generated using diagonal pixels of center pixel. Diagonal Hexadecimal Pattern use the diagonal direction pixel of center pixel.…”

Section: A Background Subtractionmentioning

confidence: 99%

“…Local Pattern can also be used for feature extraction. Uniform pattern uses line, edge and corner as feature extractor [5].…”

Section: B Object Detection and Object Trackingmentioning

confidence: 99%

“…Benchmarking dataset are used for template matching in relevant frames. Many color attributes/features are used as a benchmarking dataset [5].…”

Section: B Object Detection and Object Trackingmentioning

confidence: 99%

See 2 more Smart Citations

An Algorithm for Speed Estimation and Speed Violation Detection of a Vehicle Using Computer Vision

Patel

Raval

Agravat

2018

ijarcs

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Vehicle speed detection and violation detection is in automated way is very useful task for intelligent traffic surveillance system. Vehicle tracking in a precise way is critical task for the process of estimating the speed using only video data. This paper proposes an algorithm to estimate the speed and detecting the violation in precise way. The proposed approach gives the method which contains the optical flow algorithm with corner detection for tracking the vehicle. Proposed algorithm results the better tracking accuracy and better accuracy for speed detection. Also less computation complexity as optical flow is calculated for only corner points.

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Speed Estimation and Detection of Moving Vehicles Based on Probabilistic Principal Component Analysis and New Digital Image Processing Approach

Mini

Vijayakumar

2019

EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

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Vehicle Tracking and Speed Measurement system (VTSM) based on novel feature descriptor: Diagonal Hexadecimal Pattern (DHP)

Cited by 24 publications

References 29 publications

Estimasi Kecepatan Kendaraan Bergerak Menggunakan Motion Vector

Estimasi Kecepatan Kendaraan Bergerak Menggunakan Motion Vector

An Algorithm for Speed Estimation and Speed Violation Detection of a Vehicle Using Computer Vision

Speed Estimation and Detection of Moving Vehicles Based on Probabilistic Principal Component Analysis and New Digital Image Processing Approach

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