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HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
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Final Year Project -
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A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
Published 2010“…The system combines two algorithms to achieve better detection rate for hand. …”
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Proceeding Paper -
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Deep learning object detector using a combination of Convolutional Neural Network (CNN) architecture (MiniVGGNet) and classic object detection algorithm
Published 2020“…The system consists of two main processes, which are classification and detection. …”
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Article -
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Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video
Published 2015“…The existing Vehicle Detection and Classification System does not have tracking and counting module implemented. …”
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Thesis -
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Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…Since conventional system practically using human power to monitor and did not applicable for a long hour monitoring, thus automated system had been created to replace the conventional system. …”
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Thesis -
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…Since conventional system practically using human power to monitor and did not applicable for a long hour monitoring, thus automated system had been created to replace the conventional system. …”
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Thesis -
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CNN architectures for road surface wetness classification from acoustic signals
“…The classification of road surface wetness is important for both the development of future driverless vehicles and the development of existing vehicle active safety systems. …”
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Article -
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Automated road traffic census using image processing technique
Published 2013“…The third phase is vehicle counting and classification stage. In this phase, information of bounding box such as center point, width and height of the identified vehicles are used in implementing the counting and classification algorithm. …”
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Final Year Project Report / IMRAD -
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Detection and classification of moving objects for an automated surveillance system
Published 2006“…Since conventional system practically using human power to monitor and did not applicable for a long hour monitoring, thus automated system had been created to replace the conventional system. …”
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Thesis -
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Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Based on SOTA and classification task decision, a sorting algorithm that can acquire, recognize, and eject a shoot has been improved and tested in an offline mode. …”
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Thesis -
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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Conference or Workshop Item -
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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Fuzzy voice classifier and fuzzy voice pathology identification system
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Working Paper -
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Adaptive Non-Stationary Cardiac Signals Identification using an Augmented MLP Network
Published 2007“…Modeling or representing a signal of a system (in this case biomedical system), can be viewed as a filtering technique which intends to reduce white noise or uncorrelated noise, where modeled data is used for proceeding tasks such as feature extractions and classification techniques. …”
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Conference or Workshop Item
