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The idea of lip reading as a visual technique which people may use to translate lip movement into phrases without relying on speech itself is fascinating. There are numerous application areas in which lip reading could provide full assistance. Although there may be a downside to using the lip reading system, whether it may range from problems such as time constraint to minor word recognition mistakes,...
A power system operating condition should be stable, meeting various operational criteria, and be secured in the event of any credible contingency at any time. However, in the present day, most of the power systems are being operated closer to their stability limits due to economic and environmental constraints. Consequently, the power system networks are at risk to the disturbances that lead to the...
Precipitous depletion of natural resources and exponential population growth are stimulating the rapid development of electric power industries. Increased awareness of the global community on the benefits of renewable energy is driving the conventional power grid systems to a new paradigm. Electric power grids are evolving rapidly where incorporation of higher proportion of photovoltaic power generation...
Vehicular Ad Hoc Networks (VANETs) are special class of Mobile Ad Hoc Networks (MANETs) formed by vehicles equipped with wireless gadgets. The communication in VANET occurs between Vehicle 2 Vehicle mode and Vehicle to road side unit forming an intelligent transport system. Routing plays an important role in forwarding the required data to the nodes or vehicles. In this paper we investigate the performance...
Integrations of photovoltaic systems to utility grids are widely implemented in many countries to meet increasing electricity demand for socio-economic development while reducing carbon foot print in their electricity generation sectors. However, the erratic nature of solar irradiance poses challenges to the utilities in operation and management. Thus, predicting the photovoltaic power generation...
This paper describes the development of EMG signal acquisition system application for model cart control. The main application of this type of control is to assist disabled people or frail people to control a cart or device via their healthy muscle. In this project, the circuit was simulated, developed and troubleshoots. The aim of model cart control was to control four basic directions which is forward,...
Increment of on-road vehicles has urged public venues to provide visitors with a larger area of parking space. As the parking area grew larger for example in a hyper mall, a well-organized parking management system is necessary to assist drivers in locating parking position. Besides, it can also help the management team to monitor vehicle flow in the parking lot. Vehicle tracking plays an important...
The main purpose of human pose estimation is to estimate the size, position or orientation of the human body parts within the digital scene information. The estimation technique is directly influenced by the type of image feature to be used, its model representation and also the application of the system. This work focuses on estimating the size and position of the upper human body parts (head, torso...
In row spot spraying technology has been in the constant development as a means to reduce the application of herbicide. This will enable higher efficiency in chemical usage and reduce impact on environment. A vision system was develop for a spot spraying mechanism on an autonomous ground vehicle. The aim is to enable autonomous spot spraying of selective herbicide crop rows. However the classifier...
The achievement of the program outcomes (POs) is very important for engineering institutions who have adopted Outcome Based Education (OBE). Generally, program outcomes assessment methods can be divided into direct and indirect methods. Direct methods are generally based on grades obtained from examination or project works while indirect methods are based on perception obtained from surveys, questionnaires...
This paper presents a method of gesture recognition using Hidden Markov Model (HMM). Gesture itself is based on the movement of each right hand (RH) and left hand (LH), which represents the word intended by the signer. The feature vector selected, gesture path, hand distance and hand orientations are obtained from RH and LH then trained using HMM to produce the respective gesture class. While training,...
Normalised cut method has been effectively used for image segmentation by representing an image as weighted graph in global view. It does segmentation via partitioning the graphs into sub-graphs. Clustering algorithm is implemented such that sub-graphs with common similarities are grouped together into one cluster and separates sub-graphs that are dissimilar into distinctive clusters. Clustered segments...
In this paper, we introduce a hand gesture recognition system to recognize isolated Malaysian Sign Language (MSL). The system consists of four modules: collection of input images, feature extraction, Hidden Markov Model (HMM) training, and gesture recognition. First, we apply skin segmentation procedure throughout the input frames in order to detect only skin region. Then, we proceed to feature extraction...
Nowadays, vehicle tracking is a vital approach to assist and improve the road traffic control, surveillance and security systems by having the detail of the captured vehicle information. In past, many tracking techniques have been implemented and suffered from the well known 'occlusion' problems. Increasing the accuracy of the tracking algorithm has caused the computational cost due to the inflexibility...
Vehicle detection and tracking is essential in traffic surveillance and traffic flow optimization. However, occlusion or overlapped vehicle tracking is difficult and remain a challenging research topic in image processing. In this paper, a conventional Markov Chain Monte Carlo (MCMC) is enhanced via Cumulative Sum (CUSUM) path plot in order to track vehicles in overlapping situation. By calculating...
In this paper, a new algorithm for Automatic License Plate Localisation and Recognition (ALPR) is proposed on the basis of isotropic dilation that can be achieved using the binary image Euclidean distance transform. In a blob analysis problem, any two Region of Interest (RoIs) that is discontinuous are typically treated as separate blobs. However, the proposed algorithm combine with Connected Component...
In this paper, a new algorithm for dynamic vehicle license plate localisation is proposed on the basis of signature analysis and connected component analysis. Most existing techniques use low level features such as detection of colour and edges, these methods may have issues with reliability. The proposed algorithm however, aims to manipulate more accurate perceptual motion information. The camera...
In this paper, a method to identify hand gesture trajectory in constrained environment is introduced. The method consists of three modules: collection of input images, skin segmentation and feature extraction. To reduce processing time, we compare the absolute difference between two consecutive frames then choose which frames have the highest value. YCbCr colour space is selected as the skin model...
The Hand gesture has provided significant means of communication in human daily interaction and has been widely explored in the Human-Computer Interaction (HCI) studies. This paper presents a comparison of hand segmentation methodologies in the early stage development of an appearance-based hand gesture recognition system for sign language application. The hand segmentation method is based on Jones...
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