Usman Ullah Sheikh

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This paper proposes an accurate moving object detector from Unmanned Aerial Platform (UAV). Due to the distance of UAV to targets and the movement of the platform, object detection is a challenging task. In order to achieve the best result with low error, at first the camera motion has to be estimated; therefore, by using the Shi & Tomasi corner(More)
The rapid development of intelligent assistive technology for replacing a human caregiver in assisting people with dementia performing activities of daily living (ADLs) promises in the reduction of care cost especially in training and hiring human caregiver. The main problem however, is the various kinds of sensing agents used in such system and is(More)
Abdominal aortic aneurysm is a cardiovascular disease which occurs due to an abnormal weakening of the aorta wall. This failure in aortic wall causes the inner layer to be ruptured because of excessive blood pressure. Consequently, the blood flows into the space between lumen and epithelial, hence a thrombus is generated. On the other hand, excessive growth(More)
Face recognition is a rapidly growing research area, which is based heavily on the methods of machine learning, computer vision, and image processing. We propose a rotation and noise invariant near-infrared face-recognition system using an orthogonal invariant moment, namely, Zernike moments (ZMs) as a feature extractor in the near-infrared domain and(More)
This paper presents vehicle speed detection algorithm and its application for smart surveillance system using PC workstation at the selected road lane. Typical temporal resolution of 30 ms to 40ms of conventional camera has been utilized. The resolution is limited to the frame-rate of camera where the maximum velocity that can be computed depends on two(More)
Local Ternary Pattern (LTP) is usually applied for texture classification problems. In this work, we propose LTP for human gait characterization for the purpose of human identification. Our proposed method is based on the Gait Energy Image (GEI) whereby edge information over a complete gait cycle is extracted. However, GEI does not contain enough human body(More)
In this paper we address the issue of recognizing nonstandard Malaysian car license plates. These plates contain nonstandard characters such as italic, cursive and connected letters, which most plate recognition systems are unable to recognize. We propose a technique using stroke extraction and analysis to recognize these nonstandard characters. The(More)