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This paper introduces a hand tracking system in unconstrained environment. The system consists of two main stages which are initialization and tracking. In initialization, hand region is first detected by combining motion and skin color pixels. A region of interest (ROI) is then created around the detected hand region. In tracking stage, skin and motion pixels are scanned around top, left and right...
In recent years, many studies have focused on intelligent video surveillance system, including camera calibration, foreground region detection, moving object detection, moving object tracking and path modeling. This study used the data of the moving trajectory of a moving object as the path modeling data. However, the data may contain incorrect trajectory data, such as wrong foreground region detection...
Human tracking in dynamic scenes has been an important topic of research. This paper presents a novel and robust algorithm for multiple motion detection and tracking in dynamic and complex scenes. The algorithm consists of two steps: at first, we use a robust algorithm for human detection. Then, Gaussian mixture model (GMM), Neighborhood-based difference and Overlapping-based classification are applied...
Foveal images have variable spatial resolution, enabling a significant reduction in image size and data volume. Recently, a new class of active foveated vision system was proposed [1]. This paper examines the performance of this system for tracking a single target. It demonstrates that in the case of static targets, the fovea is able to be positioned within 1 pixel of the true target location within...
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