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Experimental study of urban growth pattern classification using moving window algorithm
Published 2023“…However, literatures are concerned that the existing algorithm may produce incorrect classification result as it is strongly influenced by the size of moving window frame and classification rule. …”
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Image classification using two dimensional wavelet coefficients with parallel computing
Published 2020“…Classification can be done precisely and efficiently for objects identified in the future frame. …”
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Final Year Project / Dissertation / Thesis -
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Optimum Colour Space Selection for Ulcerated Regions Using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage
Published 2015“…Therefore, it is crucial to develop a computer aided intelligent algorithm to process the huge number of WCE frames. …”
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Book Section -
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Optimum Colour Space Selection for Ulcerated Regions using Statistical Analysis and Classification of Ulcerated Frames from WCE Video Footage
Published 2015“…Therefore, it is crucial to develop a computer aided intelligent algorithm to process the huge number of WCE frames. …”
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Conference or Workshop Item -
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A fuzzy approach for early human action detection / Ekta Vats
Published 2016“…In order to perform early human action detection, the conventional classification problem is modified into frame-by-frame level classification. …”
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Thesis -
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Semantic shot classification in soccer videos via playfield ratio and object size considerations.
Published 2013“…This paper presents a semantic shot classification algorithm for soccer videos. Generally, each shot within a match video is assigned either a far or close up-view class label. …”
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ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
Published 2019“…This project is focused on analyzing the classification process for video scene. The algorithm used in this project will later be evaluated to see its performance. …”
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Final Year Project -
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HUMAN MOTION ANALYSIS IN VIDEO SURVEILLANCE SYSTEM
Published 2019“…A video sequence consists of sequences of frame, with the detection algorithm, these frames can be analyzed and detect any” “abnormal behavior such as crime.” …”
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Final Year Project -
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Vehicle classification technique for automated road traffic census
Published 2014“…This thesis proposes the development of vehicle classification technique for automated road traffic census prototype to replace manually vehicle classification by applying morphological techniques for image classification. …”
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Final Year Project Report / IMRAD -
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2D and 3D video scene text classification
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Conference or Workshop Item -
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A hybrid method using haar-like and skin-color algorithm for hand posture detection, recognition and tracking
Published 2010“…As the shape of hand posture keep changing in the subsequent frames, the skin regions updated dynamically. The classification of hand posture makes use of static feature for locating and counting hand fingers. …”
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Proceeding Paper -
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Block Motion Estimation Using Directional Adaptive Search Window
Published 2006“…In this paper, the search range for block-matching ME is made adaptive, based on the motion vectors present in preceding frames. The proposed algorithm determines the amount of motion in past frames and classifies the video sequence as having low, medium or high motion. …”
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Conference or Workshop Item -
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CNN architectures for road surface wetness classification from acoustic signals
“…Recorded acoustic signals were segmented into equal frames and thirteen MFCCs were extracted for each frame to train the CNNs. …”
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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“…Based on the experiment result, the percentage of classification accuracy of the network is 80% to 90% and the time for the system to detect the object is less than 15sec/frame. …”
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Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification
Published 2023“…Despite extensive research employing machine learning algorithms like convolutional neural networks (CNN), challenges remain concerning input data processing, emotion classification scope, data size, optimal CNN configurations, and performance evaluation. …”
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Block motion estimation using directional adaptive search window
Published 2007“…In this paper, the search range for block-matching ME is made adaptive, based on the motion vectors present in preceding frames. The proposed algorithm determines the amount of motion in past frames and classifies the video sequence as having low, medium or high motion. …”
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Conference or Workshop Item -
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Development Of Vehicle Tracking And Counting System From Traffic Surveillance Video
Published 2015“…The system is evaluated using two video sequences which are 670 seconds long with total of 20100 frames. The overall system performance achieves 78.19 % and 88.14% for vehicle detection and classification, respectively.…”
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Thesis