It is important to monitor and analyze crowd events for the sake of city safety. In an EDOF (extended depth of field) image with a crowded scene, the distribution of people is highly imbalanced. People far away from the camera look much smaller and often occlude each other heavily, while people close to the camera look larger. In such a case, it is difficult to accurately estimate the number of...

OBJECTIVE The aim of this longitudinal study, comprising young adults without orthodontic treatment, was to assess spontaneous changes in lower dental arch alignment and dimensions. METHODS Twenty pairs of dental casts of the lower arch, obtained at different time intervals, were compared. Dental casts obtained at T1 (mean age = 20.25) and T2 (mean age = 31.2) were compared by means of paired...

Occlusions and articulated poses make human detection much more difficult than common more rigid object detection like face or car. In this paper, a Structural Filter (SF) approach to human detection is presented in order to deal with occlusions and articulated poses. A three-level hierarchical object structure consisting of words, sentences and paragraphs in analog to text grammar is proposed ...

Detection of abnormal crowd behavior is one the important tasks in real-time video surveillance systems for public safety places such as subway, shopping malls, sport complexes and various other gatherings. Due to high density crowded scenes, detection becomes a tedious task. Hence, analysis hot topic research requires an approach with higher rate detection. In this work, focus on management pr...

HULL, E. M., E. CHAPIN AND C. KASTANIOTIS. Effects of crowding and intermittent isolation on gerbils (Meriones unguiculatus). PHYSIOL. BEHAV. 13(6) 723-727, 1974. Gerbils were reared from weaning to adulthood in mixedsex paired, crowded or isolate-crowded conditions, the latter consisting of placing crowded animals into individual boxes for 2 hr per day. Paired males exhibited more ventral mark...

In this paper a new background subtraction algorithm was developed to detect moving objects from a stable system in which visual surveillance plays a major role. However background subtraction in crowded scenes remains challenging especially when a large number of foreground objects move slowly. Among all existing algorithms it was chosen because of low computational complexity which is the maj...