Search Results - (( frames extraction based algorithm ) OR ( using classification using algorithm ))
Search alternatives:
- using classification »
- classification using »
- frames extraction »
- extraction based »
- using algorithm »
-
1
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. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
2
ANALYSIS OF CLASSIFICATION PROCESS FOR VIDEO SCENE UNDERSTANDING
Published 2019“…The algorithm used in this project will later be evaluated to see its performance. …”
Get full text
Get full text
Final Year Project -
3
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. …”
Get full text
Get full text
Get full text
Article -
4
-
5
Detection and classification of bleeding region in WCE images using color feature
Published 2017“…In case of bleeding, color is a very important feature for an efficient information extraction. Our algorithm is based on statistical color feature analysis and we use support vector machine (SVM) to classify WCE video frames into bleeding and non-bleeding classes with a high processing speed. …”
Get full text
Get full text
Article -
6
Multilanguage speech-based gender classification using time-frequency features and SVM classifier
Published 2021“…The classification is done based on features derived from the frequency and time domain processing using the Support Vector Machines (SVM) algorithm. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Book Chapter -
7
Detection and Classification of Moving Objects for an Automated Surveillance System
Published 2006“…The applied post processing module capable to remove noise and shadow from the detected objects with less than 1% of error. Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
Get full text
Get full text
Thesis -
8
Detection and classification of moving objects for an automated surveillance system
Published 2006“…The applied post processing module capable to remove noise and shadow from the detected objects with less than 1% of error. Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
Get full text
Get full text
Thesis -
9
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…By using k-means algorithm the extracted features have been evaluated. …”
Get full text
Get full text
Thesis -
10
Correlation-based subset evaluation of feature selection for dynamic Malaysian sign language
Published 2016“…In this study, the images has been captured using a kinect sensor based skeletal algorithms. …”
Get full text
Get full text
Thesis -
11
An automated high-accuracy detection scheme for myocardial ischemia based on multi-lead long-interval ECG and Choi-Williams time-frequency analysis incorporating a multi-class SVM...
Published 2021“…The classification process uses the data of 92 normal and 266 patients from four different databases. …”
Get full text
Get full text
Article -
12
Enhanced emotion recognition in videos: a convolutional neural network strategy for human facial expression detection and classification
Published 2023“…The Viola-Jones algorithm is then used for face detection on the processed grayscale images. …”
Get full text
Get full text
Get full text
Get full text
Article -
13
Detection and classification of moving objects for an automated surveillance system
Published 2006“…The applied post processing module capable to remove noise and shadow from the detected objects with less than 1% of error. Finally, classification algorithm that makes use of the extracted moment values from the detected objects successfully categorize objects into pre-defined classes of human and vehicle with 89.08% of accuracy. …”
Get full text
Get full text
Thesis -
14
Structural steel plate damage detection using DFT spectral energy and artificial neural network
Published 2011Get full text
Working Paper -
15
An Improved Action Key Frames Extraction Algorithm for Complex Colour Video Shot Summarization
Published 2019“…The objective of this work is to improve our previous action key frames extraction algorithm (AKF) by adapting a threshold which selects action key frames as final key frames. …”
Get full text
Get full text
Article -
16
Internal defect detection and reconstruction framework for laminated glass fibre reinforced polymer composite materials
Published 2013“…(iii) The image ofthe defect region is reconstructed by using the attenuation of the reflected ultrasound signal (iv) Entropy-based fuzzy k-nearest neighbour classification method is used to extract the feature of the defects. …”
Get full text
Get full text
Thesis -
17
Compacted dither pattern codes over MPEG-7 dominant colour descriptor in video visual depiction
Published 2010“…The algorithmic comparison between the two is presented in this paper, and demonstrates that there are several competitive advantages of CDPC in feature extraction and classification stages when compared to MPEG-7 DCD. …”
Get full text
Get full text
Article -
18
Collective interaction filtering with graph-based descriptors for crowd behaviour analysis
Published 2018“…At the low-level, motion feature extraction is performed to extract trajectories from each of the video frames. …”
Get full text
Get full text
Thesis -
19
-
20
Three-phase three-level shunt active power filter with simplified synchronous reference frame
Published 2016“…In its controller, Synchronous Reference Frame (SRF) principle has widely been applied in current harmonics extraction algorithm due to its simple implementation features. …”
Get full text
Get full text
Conference or Workshop Item
