Embodied agents, trained to explore and navigate indoor photorealistic environments, have achieved impressive results on standard datasets benchmarks. So far, experiments evaluations involved domestic working scenes like offices, flats, houses. In this paper, we build release a new 3D space with unique characteristics: the one of complete art museum. We name environment ArtGallery3D (AG3D). Com...

Theories and models on saliency that predict where people look at focus on regular-density scenes. A crowded scene is characterized by the cooccurrence of a relatively large number of regions/objects that would have stood out if in a regular scene, and what drives attention in crowd can be significantly different from the conclusions in the regular setting. This work presents a first focused st...

by Jeremiah R. Barr The 2013 Boston Marathon investigation presented an ample opportunity to apply advanced face recognition technology. Unfortunately, the crowded scenes proved too difficult for existing facial biometrics methods and databases. In this dissertation, we identify some of the limitations of this technology and present approaches for overcoming these deficiencies. These approaches...

This paper addresses the problem of gait recognition in the presence of occlusions. Recognition of people using their gait has been an active research area and many successful algorithms have been presented. However to this point non of the methods addresses the problem of occlusion. Most of the current algorithms need a full gait cycle for recognition. In this paper we present a scheme for rec...

Removing dynamic objects from videos is an extremely challenging problem that even visual effects professionals often solve with time-consuming manual frame-by-frame editing. We propose a new approach to video completion that can deal with complex scenes containing dynamic background and non-periodical moving objects. We build upon the idea that the spatio-temporal hole left by a removed object...

Removal of dynamic scene elements from video is an extremely challenging problem that even movie professionals often solve through days of manual frame-byframe editing. The disoccluded regions in the video have to be inpainted in a coherent way, even if originally occluded objects or background are dynamic. To make this problem easier, we propose a new approach for video inpainting that can dea...

In the past, the estimation of crowd density has become an important topic in the field of automatic surveillance systems. In this paper, the developed system goes one step further to estimate the number of people in crowded scenes in a complex background by using a single image. Therefore, more valuable information than crowd density can be obtained. There are two major steps in this system: r...

In this series of behavioural experiments we investigated the effect of distraction on the maintenance of acoustic scene information in short-term memory. Stimuli are artificial acoustic 'scenes' composed of several (up to twelve) concurrent tone-pip streams ('sources'). A gap (1000 ms) is inserted partway through the 'scene'; Changes in the form of an appearance of a new source or disappearanc...

In this paper, a new automatic system for classifying ritual locations in diverse Hajj and Umrah video scenes is investigated. This challenging subject has mostly been ignored in the past due to several problems one of which is the lack of realistic annotated video datasets. HUER Dataset is defined to model six different Hajj and Umrah ritual locations [26]. The proposed Hajj and Umrah ritual l...