The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper we learn patterns of activity in open urban spaces and detect activity outliers that represent events of interest. We do so utilising background suppression to flag people as foreground blobs in videos from city surveillance cameras. Since the application domain is challenging, with far-field cameras viewing scenes that vary from completely empty to very crowded, and each person in the...
The prevailing security model for OSes focuses on isolating users from each other, however, the changing computing landscape has led to the extension of traditional access control models for single-user devices. Modern OSes for mobile devices such as iOS and Android have taken the opportunity provided by these new platforms to introduce permission systems in which users can manage access to sensitive...
Depth map provides rich information and it can be utilized in object tracking to handle some challenging problems in conventional RGB tracking such as occlusions and model drift. In this paper, we present a tracker that provides an effective real-time target tracking method based on a binocular camera. The proposed tracker is an extension of the popular KCF algorithm that leverages a circulant structure...
Blur kernel estimation is the vital step in the deblurring process for images. Though, the kernel has no unique solution, deblurring is a severely ill posed problem. The kernel may be point, linear or non linear. In most of the applications, we consider the blur kernel as a linear one, because it is easy to estimate. In this paper, we consider non linear blur kernels, which have more than one motion...
Large amounts of visual data are gathered from various surveillance systems across different places and times, and have to be processed in order to infer the current state of the world. One of the common problems in surveillance scenarios is person re-identification, the task of associating a person across different cameras. On the other hand, these scenarios raise privacy concerns, which lead to...
Tampering images to create false ones using photo manipulation software is very easy. Tampering may be in the form of image splicing. Image Splicing involves the introduction of a selected region from one image into another with the aim to alter its content. Splicing may be in the form of blurred regions introduced via Gaussian blur. In this paper, a method based on inconsistencies in Gaussian blur...
While egocentric video is becoming increasingly popular, browsing it is very difficult. In this paper we present a compact 3D Convolutional Neural Network (CNN) architecture for long-term activity recognition in egocentric videos. Recognizing long-term activities enables us to temporally segment (index) long and unstructured egocentric videos. Existing methods for this task are based on hand tuned...
In this paper, we propose a new approach for the person re-identification problem, discovering the correct matches for a query pedestrian image from a set of gallery images. It is well motivated by our observation that the overall complex inter-camera transformation, caused by the change of camera viewpoints, person poses and view illuminations, can be effectively modelled by a combination of many...
Drone-based aerial thermography has become a convenient quality assessment tool for the precise localization of defective modules and cells in large photovoltaic-power plants. However, manual evaluation of aerial infrared recordings can be extremely time-consuming. Therefore, we propose an approach for automatic detection and analysis of photovoltaic modules in aerial infrared images. Significant...
The blur removal due to camera shake and motion of the scene is been considered as a research topic in Image processing. To build a more sharper and reduced blurred image, an algorithm can be selected which is capable of grouping a burst of images (or more than one burst for high dynamic range), from that less blurred image from each frame can be preferred through a weighted average in the Fourier...
Images taken in low-light environments are often degraded due to camera shake and pixel saturation. In this paper, a motion deblurring method for non-uniform blur is proposed, in which an optimization problem is formulated using a maximum a posteriori approach. In the final deconvolution process, a modified Richardson-Lucy algorithm with regularization is used to reduce ringing artifacts and noise,...
Smartphone camera resolution is increasing fast to meet the user expectation. With the increase in resolution the need of storage capacity as well as power consumption in processing the images is increasing. Though a user can set the resolution of an image before capture, most of the time the user does not change the pre-selected resolution for capturing multiple images. If the pre-selected resolution...
Bird strikes present a huge risk for air vehicles, especially since traditional airport bird surveillance is mainly dependent on inefficient human observation. Recently, multiple groups have proposed bird monitoring using computer vision to detect birds, determine bird flying trajectories, and predict aircraft takeoff delays. However, the characteristics of bird flight using imagery which should be...
A disparity map is usually obtained by stereo images using a stereo matching method. Edge boundaries in the disparity map separate two different objects. Therefore, edge preservation is one of important issues in the stereo matching method. A conventional distance transform was proposed to preserve edge boundaries in the disparity map. However, this method has a complexity problem because of its iterative...
In the technology of Advanced Safety Vehicle(ASV), it is important elements to detect pedestrians. There is a technique which used image features and a classifier for pedestrian detection. However, pedestrians have pose variations, such as a rotation. That's why we cannot always get the same features. In order to solve this problem, we can use a way which used the rotation-invariant HOG, but this...
Blind deconvolution algorithms in image processing estimate the original image and the true Point Spread Function (PSF) simultaneously with prior information about the PSF or the original image. This is an ill-posed problem and requires regularization to be solved. In addition to the type of regularization functions, the value of regularization parameters can drastically affect the output result....
One key issue for people re-identification is to find good features or representation to bridge the gaps among different appearances of the same people, which is introduced by large variances in view point, illumination and non-rigid deformation. In this paper, we create a deep convolutional neural network (deep CNN) to solve this problem and integrate feature learning and re-identification into one...
Human action recognition based on joints is a challenging task. The 3D positions of the tracked joints are very noisy if occlusions occur, which increases the intra-class variations in the actions. In this paper, we propose a novel approach to recognize human actions with weighted joint-based features. Previous work has focused on hand-tuned joint-based features, which are difficult and time-consuming...
Pictures taken with finite aperture lenses typically have out-of-focus regions. While such defocus blur is useful for creating photographic effects, it can also be used for depth estimation. In this paper, we look at different camera settings for Depth from Defocus (DFD), the conditions under which depth can be estimated unambiguously for those settings and optimality of different settings in terms...
This paper presents a method to estimate a depth map using an infrared projector and a pair of infrared color cameras that can capture infrared and color images simultaneously. The infrared projector projects a dot pattern so that the cameras capture infrared images of a scene textured by the dots with which depths to surfaces in the scene can be estimated regardless of whether they have visible textures...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.