When unexpected changes occur in a visual scene, people often fail to notice them. Because change detection depends on attentional mechanisms, people tend to notice changes that are of special significance. People with Williams syndrome (WMS) have an unusually strong interest in other people that is manifest in relatively spared face recognition skills, heightened social attention and hypersoci...

Change detection is the most important task for video surveillance analytics such as foreground and anomaly detection. Current foreground detectors learn models from annotated images since the goal is to generate a robust foreground model able to detect changes in all possible scenarios. Unfortunately, manual labelling is very expensive. Most advanced supervised learning techniques based on gen...

People often fail to detect large changes to scenes, provided that the changes occur during a visual disruption. This phenomenon, known as "change blindness," occurs both in the laboratory and in real-world situations in which changes occur unexpectedly. The pervasiveness of the inability to detect changes is consistent with the theoretical notion that we internally represent relatively little ...

Detecting regions of change in images of the same scene taken at different times is of widespread interest. Important applications of change detection include video surveillance, remote sensing, medical diagnosis and treatment. Change detection usually involves image registration, which is aimed at removing meaningless changes caused by camera motion. Image registration is a hard problem due to...

Image change detection is a process that analyzes images of the same scene taken at different times in order to identify changes that may have occurred between the considered acquisition dates. It has attracted widespread interest in the last decades, due to a large number of applications in diverse disciplines such as remote sensing, medical diagnosis and video surveillance. With the developme...

In scrutinizing a scene, the eyes alternate between fixations and saccades. During a fixation, two component processes can be distinguished: visual encoding and selection of the next fixation target. We aimed to distinguish the neural correlates of these processes in the electrical brain activity prior to a saccade onset. Participants viewed color photographs of natural scenes, in preparation f...

land use change may influence many natural phenomena and ecological processes, including runoff, soil erosion, sedimentation and soil conditions. decreasing of forest area in the north of iran is one of the critical problems in recent years. the aims of this study are to detect land use changes between 1967 to 2002 using satellite images of land sat 7 etm+ (2002), aerial photos and digital topo...

given the critical role played by urban green spaces and the emergence of remote sensing as avaluable natural resource management tool, this study sought to identify trends in green spaces within thecontext of south africa’s transition period (1990 - 2000). using the city of port elizabeth as a case study, threesets of landsat - 5 thematic mapper images (1990, 1995 and 2000) were geo-processed,...

Which is more detectable, the change of a consistent or an inconsistent object in a scene? This question has been debated for decades. We noted that the change of objects in scenes might simultaneously be accompanied with gist changes. In the present study we aimed to examine how the alteration of gist, as well as the consistency of the changed objects, modulated change detection. In Experiment...