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Human recognition using gait features in predominantly frontal-normal motion has been described in this paper. Compared to current methods for gait identification, this allows convenient combination of other biometrics using a single camera. We analyse how this motion yields more dynamic information, allowing us to characterise gait in a new way, using nonlinear dynamics of time series normally used...
Since two years, the FACT telescope is operating on the Canary Island of La Palma. Apart from its purpose to serve as a monitoring facility for the brightest TeV blazars, it was built as a major step to establish solid state photon counters as detectors in Cherenkov astronomy. The camera of the First G-APD Cherenkov Telesope comprises 1440 Geiger-mode avalanche photo diodes (G-APD), equipped with...
Human gait is an emerging biometric showing promise in its use. It incorporates time implicitly which allows a wide range of temporally based analyses to be applied. Currently, most dynamic analyses of gait employ the fronto-parallel view where people walk in a plane parallel to a camera. They employ linear signal decomposition techniques to obtain features that can be used for human recognition such...
This paper presents an overview of self-contained automated video analytics units that are man-portable and constitute nodes of a large-scale distributed sensor network. The paper highlights issues with traditional video surveillance systems in volatile environments such as a battle field and provides solutions to them in the form of Rapidly Deployable Video Analysis sensors. We discuss scientific...
Understanding the mechanism mediating the change from inaccurate pre-reaching to accurate reaching in infants may confer advantage from both a robotic and biological research perspective. In this work, we present a biologically meaningful learning scheme applied to the coordination between reach and gaze within a robotic structure. The system is model-free and does not utilize a global reference system...
In this paper we describe a computer vision-based 3D hand tracking system for a multimodal augmented reality (AR) interface. We have developed a 3D vision-based natural hand interaction method. This consists of four steps: (1) skin colour segmentation, (2) feature point finding, (3) hand direction calculation, and (4) simple collision detection based on a short finger ray for interaction between the...
The paper addresses the problem of person following using color and shape identification in indoors and outdoors environments with significant light variations. This is mainly achieved by real-time control of camera parameters affecting the light exposure, i.e. camera gain, shutter speed and iris. Several other new strategies are also proposed to recognize and segment the person from the environment,...
This paper presents the University of Southampton multi-biometric tunnel, a constrained environment that is designed with airports and other high throughput environments in mind. It is able to acquire a variety of non-contact biometrics in a non-intrusive manner. The system uses eight synchronised IEEE1394 cameras to capture gait and additional cameras to capture images from the face and one ear,...
Modern automated video analysis systems consist of large networks of heterogeneous sensors. These systems must extract, integrate and present relevant information from the sensors in real-time. This paper addresses some of the major challenges such systems face: efficient video processing for high-resolution sensors; data fusion across multiple modalities; robustness to changing environmental conditions...
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