IMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS)

Parking line detection and movement tracking subsystem is one of the components that construct the Vision-Based Parking Assist System (VPAS). The subsystem used the HaarFeature Cascade Classifier as one of the methods to do the parking line detection. This model will identify the Haar-feature from...

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Main Author: Yusuf Bharoto, Luqman
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/50570
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:50570
spelling id-itb.:505702020-09-24T15:54:17ZIMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS) Yusuf Bharoto, Luqman Indonesia Final Project VPAS, cascade classifier, tracking, object detection, parking line INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/50570 Parking line detection and movement tracking subsystem is one of the components that construct the Vision-Based Parking Assist System (VPAS). The subsystem used the HaarFeature Cascade Classifier as one of the methods to do the parking line detection. This model will identify the Haar-feature from an image, transform raw image to integral image, implement the adaboost algorithm, and the cascade classifier. On the other hand, to tackle the unstable classification process, tracking method will be implemented toward the system. The parking line detection and movement tracking is implemented using the CPU with specification of amd ryzen 3 2200g, motherboard msi a320 m pro vds, ram 4 gb ddr3, ssd 128gb, dan 4 cores 3.5 GHz processor. In result, the accuracy rate of right-side parking method is 0,87 while for the left side is 0,877. Besides, the subsystem operates in 20-21 FPS. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Parking line detection and movement tracking subsystem is one of the components that construct the Vision-Based Parking Assist System (VPAS). The subsystem used the HaarFeature Cascade Classifier as one of the methods to do the parking line detection. This model will identify the Haar-feature from an image, transform raw image to integral image, implement the adaboost algorithm, and the cascade classifier. On the other hand, to tackle the unstable classification process, tracking method will be implemented toward the system. The parking line detection and movement tracking is implemented using the CPU with specification of amd ryzen 3 2200g, motherboard msi a320 m pro vds, ram 4 gb ddr3, ssd 128gb, dan 4 cores 3.5 GHz processor. In result, the accuracy rate of right-side parking method is 0,87 while for the left side is 0,877. Besides, the subsystem operates in 20-21 FPS.
format Final Project
author Yusuf Bharoto, Luqman
spellingShingle Yusuf Bharoto, Luqman
IMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS)
author_facet Yusuf Bharoto, Luqman
author_sort Yusuf Bharoto, Luqman
title IMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS)
title_short IMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS)
title_full IMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS)
title_fullStr IMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS)
title_full_unstemmed IMPLEMENTATION OF HAAR-FEATURE CASCADE CLASSIFIER ON PARKING LINE DETECTION AND TRACKING FOR VISION BASED PARKING ASSSIST SYSTEM (VPAS)
title_sort implementation of haar-feature cascade classifier on parking line detection and tracking for vision based parking asssist system (vpas)
url https://digilib.itb.ac.id/gdl/view/50570
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