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Steep-slope devices, such as tunnel field-effect transistors (TFETs), have recently gained interest due to their potential for low power operation at room temperature. The devices are based on inter-band tunneling which could limit the on-current since the charge carriers must tunnel through a barrier to traverse the device. The InAs/GaSb heterostructure forms a broken type II band alignment which...
Current state-of-art of image retrieval methods represent images as an unordered collection of local patches, each of which is classified as a "visual word" from a fixed vocabulary. This paper presents a simple but innovative way to uncover the spatial relationship between visual words so that we can discover words that represent the same latent topic and thereby improve the retrieval results...
Automatic placement of surveillance cameras in arbitrary buildings is a challenging task, and also one that is essential for efficient deployment of large scale surveillance networks. Existing approaches for automatic camera placement are either limited to a small number of cameras, or constrained in terms of the building layouts to which they can be applied. This paper describes a new method for...
We present an approach for real-time tracking of a non-rigid target with a moving pan-tilt-zoom (PTZ) camera. The tracking of the object and control of the camera is handled by one computer in real time. The main contribution of the paper is method for target representation, localisation and detection, which takes into account both foreground and background properties, and is more discriminative than...
The increased flexibility and other benefits offered by IP network cameras makes them a common choice for installation in new and expanded surveillance networks. One commonly quoted limitation of IP cameras is their high latency when compared to their analogue counterparts. This causes some reluctance to install or upgrade to digital cameras, and is slowing the adoption of live, intelligent analysis...
This paper presents hardware and software systems which have been developed to provide haptic feedback for teleoperated laparoscopic surgical robots. Surgical instruments incorporating quantum tunnelling composite force measuring sensors have been developed and mounted on a pair of Mitsubishi PA-10 industrial robots. Feedback forces are rendered on pseudo-surgical instruments based on a pair of PHANTOM...
This paper investigates the use of pairwise camera overlap estimates for supporting target tracking across large networks of surveillance cameras. We compare the use of camera overlap topology information to a method based on matching target appearance histograms, and also evaluate the effect of combining both methods. Tracking accuracy results are reported in terms of precision and recall for a 24...
This paper proposes a new measure that continuously measures the degree of inconsistency for a linear system. We apply the new measure to two essential vision problems. One is to predict the fidelity of a local optical flow computation system; The other is to detect motion boundaries. Experimental results on benchmark sequences validate the performance of the proposed measure on both problems.
We present an interactive image-based modelling method for generating 3D models within an augmented reality system. Applying real time camera tracking, and high-level automated image analysis, enables more powerful modelling interactions than have previously been possible. The result is an immersive modelling process which generates accurate three dimensional models of real objects efficiently and...
An accurate estimate of camera overlap is a key enabler for efficient network-wide surveillance processing (e.g. inter-camera tracking), especially in large-scale surveillance networks. Techniques based on contradictions in pair-wise occupancy data, such as the exclusion approach, have advantages in robustness and efficiency that make them particularly well suited for large surveillance networks....
This paper presents a novel framework designed for calculating the topology of overlapping cameras in large surveillance systems. Such a framework is a key enabler for efficient network-wide surveillance, e.g. inter-camera tracking, especially in large surveillance networks. The framework presented can be adapted to utilise numerous contradiction and correlation approaches to identify overlapping...
A robust approach to detection and tracking of multiple moving targets from a moving camera is presented. The main novelty of this approach is that objects are represented using efficient compact form of the colour correlogram. Like previous correlograms, this encodes both spatial pattern and appearance information about the target. However it is less complex to compute, making it applicable to real...
This paper describes an approach to optical flow computation that combines local and global constraints. A local flow estimate is obtained at each pixel, and is used to segment the image into regions of smooth motion. Within each region, global constraints are applied to reduce noise in local flow estimates while preserving motion boundaries. The main novel contributions in this framework are: (1)...
This paper describes an approach to tracking multiple independently moving objects observed from moving cameras. The method addresses difficulties typically associated with tracking, including changes in background, parallax in the scene, arbitrary camera motion, object occlusions, cross-overs, and appearance changes. Using a bottom up approach, independently moving objects are detected in images...
Making intelligent decisions on the basis of the video captured by a large network of surveillance cameras requires the ability to identify overlap between their fields of view. Without this information it is impossible to perform even simple analysis, such as distinguishing between repeated behaviours and multiple views of the same behaviour. Large-scale intelligent video surveillance thus requires...
Large-scale intelligent video surveillance requires an accurate estimate of the relationships between the fields of view of the cameras in the network. The exclusion approach is the only method currently capable of performing online estimation of camera overlap for networks of more than 100 cameras, and implementations have demonstrated the capability to support networks of 1000 cameras. However,...
A common problem when using automated structure from motion techniques is that the object to be modelled can only be partially reconstructed from the video. This can occur because not all of the object is visible in the video, or because of featureless or ambiguous regions on the object's surface. In this paper we present an interactive method for rapidly and intuitively generating a complete 3D model...
Surveillance camera technologies have reached the point whereby networks of a thousand cameras are not uncommon. Systems for collecting and storing the video generated by such networks have been deployed operationally, and sophisticated methods have been developed for interrogating individual video streams. The principal contribution of this paper is a scalable method for processing video streams...
We propose a method for interactively generating a model-based reconstruction of a scene from a set of images. The method facilitates the fitting of multiple object models to the data in a manner that provides the best overall fit to the image set. This requires that models are not fit independently, but rather collectively, each potentially impacting upon the fit of the other
We have developed a theoretical model to predict the outcome (i.e. failure/success) of radio-frequency ablation (RFA) therapy via computer calculations of the propagation of action potential in the presence of a ventricular reentry circuit. Our results show that the anatomy (i.e. infarct scar sizes) and the electrical conductivity of the channel between the scars (named isthmus) are critical to inducibility...
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