A new algorithm for segmenting and tracking deformable (shape-changing) linear (thin and long with negligible diameter) objects in video images is presented. The core of the algorithm is to detect the two boundary curves of a deformable linear object within adaptive tracking windows. The boundaries are found by analyzing the gray value gradients within the tracking windows. The algorithm provid...

Time series data are common in a variety of fields ranging from economics to medicine and manufacturing. As a result, time series analysis and modeling has become an active research area in statistics and data mining. In this paper, we focus on a type of change we call contextual time series change (CTC) and propose a novel two-stage algorithm to address it. In contrast to traditional change de...

Mobile change detection systems allow for acquiring image sequences on a route of interest at different time points and display changes on a monitor. For the display of color images, a processing approach is required to enhance details, to reduce lightness/color inconsistencies along each image sequence as well as between corresponding image sequences due to the different illumination condition...

Creating linguistic summaries of data has been a goal of the artificial and computational intelligence communities for many years. Summaries of written text have garnered the most attention. More recently, creating summaries of imagery and other sensed data has become important as a means of compressing large amounts of data and communicating with humans. In this paper, we consider the question...

— We have studied the major positional error components in the process of registering SAR image data to vector data. This way we intend to attach a spatial quality measure to said image, in order to assess the level of change a change detection process will be able to detect.

The current study presents an algorithm to retrieve surface Soil Moisture (SM) from multi-temporal Synthetic Aperture Radar (SAR) data. The developed algorithm is based on the Cumulative Density Function (CDF) transformation of multi-temporal RADARSAT-2 backscatter coefficient (BC) to obtain relative SM values, and then converts relative SM values into absolute SM values using soil information....

Most websites undergo a redesign from time to time. Along with the change of the appearance of the site comes a different document structure. Hence, redesigns can be detected by observing changes in the structural similarity of monitored HTML documents. Assuming further to monitor not a fixed document set but a series of the newest documents (e.g. provided by an RSS feed) transforms the task of...

In this paper we discuss issues of design of a platform that can support effectively the internetworking of independent Content Delivery Networks (CDNs). Specifically, our work focuses on the design of the Request-Routing Internetworking System (RRIS), i.e. the entity responsible for forwarding client requests to the CDNs that can best satisfy them. In order to take routing decisions, the RRIS ...

This paper proposes a method for buildings change detection. Vertical edges of buildings are extracted in pairs of aerial images respectively, taking advantage of the character that vertical edges intersect at their vanishing point without fail. The ground coordinates of the vertices on each vertical edge are calculated according to projection difference and the principle of frontage intersecti...

Automated monitoring systems that can capture wetlands’ high spatial and temporal variability are essential for their management. SAR-based change detection approaches offer a great opportunity to enhance our understanding of complex and dynamic ecosystems. We test a recently-developed time series change detection approach (S1-omnibus) using Sentinel-1 imagery of two wetlands with different eco...