While pixel-based or object-based change detection approaches have been proposed in technical literature, change detection techniques based on feature extraction and comparison are less numerous, due to the reliability the extraction. This paper discusses how to exploit aggregated information obtained from geometrical features to obtain hints to changed areas and to unchanged areas as well. Thi...

Recent research on change detection has documented surprising failures to detect visual changes occurring between views of a scene, suggesting the possibility that visual representations contain few details. Although these studies convincingly demonstrate change blindness for objects in still images and motion pictures, they may not adequately assess the capacity to represent objects in the rea...

Three experiments examined the role of reference directions in spatial updating. Participants briefly viewed an array of five objects. A non-egocentric reference direction was primed by placing a stick under two objects in the array at the time of learning. After a short interval, participants detected which object had been moved at a novel view that was caused by table rotation or by their own...

When remembering a real-world scene, people encode both detailed information about specific objects and higher order information like the overall gist of the scene. However, formal models of change detection, like those used to estimate visual working memory capacity, assume observers encode only a simple memory representation that includes no higher order structure and treats items independent...

Vision-based systems for remote surveillance usually involve change detection algorithms for intruders, obstacles or irregularities detection. In particular, there is a potentially very cost-effective approach to perform inspection with autonomous robot navigation, computer vision, and change detection based on automatic image registration and subtraction. In these cases, a model of the working...

Surveillance videos provide security and increases work efficiency in places of homes. as the most acceptable form evidence, surveillance are now tampered to hide actions or convey wrong information. Researchers have proposed ways mitigate effect activities attackers through checking authenticity video. The schemes suffer performance degradation presence scene changes. Recently a scheme that ad...

Does becoming aware of a change to a purely visual stimulus necessarily cause the observer to be able to identify or localise the change or can change detection occur in the absence of identification or localisation? Several theories of visual awareness stress that we are aware of more than just the few objects to which we attend. In particular, it is clear that to some extent we are also aware...

Change detection is the study of detecting changes between two different images of a scene taken at different times. This paper proposes the concept of semantic change detection, which involves intuitively inserting semantic meaning into detected change areas. The problem to be solved consists of two parts, semantic segmentation and change detection. In order to solve this problem and obtain a ...

Illumination variation poses a serious problem in video shot detection. It causes false cuts in many shot detection algorithms. A new illumination invariant measure metric is proposed in this paper. The metric is based on the assumption: the outputs of derivative filters to log-illumination are sparse. Thus the outputs of derivative filters to log-image are mainly caused by the scene itself. If...