Farrah Wong

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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(More)
The task of correctly tracking the body parts is one of the crucial problems in the human body pose modelling. Various factors need to be investigated as the variety of body poses is unlimited and the visual appearance varies according to the environment. The human body can be composed into several parts such as the head, torso, arms and legs. The arms can(More)
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(More)
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(More)
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(More)
— 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(More)
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(More)
Human body pose modelling system is directly influenced by the image features used in the system, its model representation and also its application. This paper presents silhouette, edge and colour extraction methodology for detecting the human body parts in image sequences. Silhouette is used as input for head and torso pose estimation. Meanwhile, edge and(More)
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(More)