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Fadhlan Kamaruzaman
Universiti Teknologi MARA
10Publications
2H-index
20Citations
Publications 10
Newest
#1Rohilah SahakH-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
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This study investigates the potential gait features that are related to human recognition using orthogonal least square (OLS). Firstly, video of 30 subjects walking in oblique view was recorded using Kinect. Next, all 20 skeleton joints in 3D space were extracted and further selected using OLS. Additionally, SVM with linear, polynomial and radial basis function (RBF) kernel was used to classify the selected features. As consequences, OLS was proven to be able to identify the significant features...
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#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Ali Al Misreb (International University of Sarajevo)
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#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
view all 4 authors...
In this study the overview of human gait followed by previous researches on model-based analysis in human gait recognition will be discussed. This study focuses on general techniques employed in gait recognition using video sequences of human gait that was attained from a standard video camera. Advantages and drawbacks of the employed techniques on the gait video are also identified. Additionally, detailed explanation on the stages involved in the framework of human gait recognition will be elab...
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#2Rohilah SahakH-Index: 7
Last.Fadhlan KamaruzamanH-Index: 2
view all 4 authors...
Source
#1Rohilah Sahak (UiTM: Universiti Teknologi MARA)H-Index: 7
#2Nooritawati Md Tahir (UiTM: Universiti Teknologi MARA)H-Index: 12
Last.Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
view all 4 authors...
This paper discussed the recognition of human gait for both frontal and oblique view based on orthogonal least square (OLS) as feature selection and Multi-Layer perceptron (MLP) as classifier. Firstly, kinect sensor was used to acquire several frames of human gait in both oblique and frontal view. Next, feature extraction is conducted via skeleton joint point in the 3D space known as direct-gait (D-G) feature. Further, feature selection is performed in identifying the significant D-G features us...
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#1Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
#2Amir Akramin Shafie (IIUM: International Islamic University Malaysia)H-Index: 14
Gabor Wavelets (GW) have been extensively used for facial feature representation due to its inherent multi-resolution and multi-orientation characteristics. In this work we extend the work on Local Gabor Feature Vector (LGFV) and propose a new face recognition method called LGFV//LN//SNP, which employs local normalization filter in pre-processing stage. We propose a novel Spiking Neuron Patterns (SNP) as a dimensionality reduction method to reduce the dimensions of local Gabor features. SNP is a...
10 CitationsSource
#1Gerrit LangeH-Index: 1
#2Cheng Yee LowH-Index: 9
Last.Fadhlan Kamaruzaman (UiTM: Universiti Teknologi MARA)H-Index: 2
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The use of body-powered prostheses can be tiring and lead to further problems with compliance and prosthetic restoration. Brain-Computer-Interfaces (BCI) offers a mean of controlling prostheses for patients that otherwise are unable to operate such devices due to physical limitations. An issue with BCIs is that they tend to either require invasive recording methods, posing a surgical risk, or work by generating control signals from not task related brain activity patterns such as right vs. left ...
5 CitationsSource
#2Amir Akramin Shafie (IIUM: International Islamic University Malaysia)H-Index: 14
Many research works have proven the superiority of Gabor Wavelets as a feature descriptor for face classification as compared to other methods. However, most implementations used some commonly used values for Gabor parameters and we proposed that the performance of Gabor-based face recognition can be improved by proper optimization of Gabor parameters. Here in this paper we used Ant Colony Optimization to find the most optimal value for several Gabor parameters - the step frequency, maximum freq...
2 CitationsSource
Aug 1, 2015 in ICSECS (International Conference on Software Engineering and Computer Systems)
#1Hazrat Ali (NU: Nazarbayev University)H-Index: 2
Last.Amir Akramin Shafie (IIUM: International Islamic University Malaysia)H-Index: 14
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Automated security systems are a useful addition for today's home where safety is essential. Vision-based security systems have the greater advantages over the traditional security systems such as using the lock, observing by the security guard, using alarm signal etc. This paper proposed an integrated dual-level vision-based home security system, which consists of two subsystems - a) movement detection and b) hand verification system. The primary movement detection technique is used to detect a...
2 CitationsSource
#1Fadhlan Kamaruzaman (IIUM: International Islamic University Malaysia)H-Index: 2
#2Amir Akramin Shafie (IIUM: International Islamic University Malaysia)H-Index: 14
Last.Yasir Mohd Mustafah (IIUM: International Islamic University Malaysia)H-Index: 8
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We elucidate the practical implementation of Spiking Neural Network (SNN) as local ensembles of classifiers. Synaptic time constant is used as learning parameter in representing the variations learned from a set of training data at classifier level. This classifier uses coincidence detection (CD) strategy trained in supervised manner using a novel supervised learning method called Prediction which adjusts the precise timing of output spikes towards the desired spike timing through iterative adap...
1 CitationsSource
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