Security is one of the most critical factors affecting the quality of urban spaces. Nowadays, most of these spaces have become merely pathways with neither social life nor sense of belonging to it. Insufficiency of public surveillance along with weak sense of control and surveillance results in spaces with high crime rate. In the late 60s and early 70s, high crime statistics in open urban space...

Robust person detection in real-world images is interesting and important for a variety of applications, such as visual surveillance. We address the task of detecting persons in elevator surveillance scenes in this paper. To get more passengers in the lift car, the camera usually installed at the corner of ceiling. However, the high and space of lift car are limited, which makes person occluded...

In most of today’s surveillance tasks, people’s actions are the focus of attention. A prerequisite for action interpretation is a stable tracking of people to build meaningful trajectories. Specifically in surveillance applications, not only trajectories on agent level are of interest, but also interpretation on the level of limbs provides important information when it comes to more sophisticat...

Despite extensive evidence confirming the negative consequences of self-objectification, direct experimental evidence concerning its environmental antecedents is scarce. Incidental exposure to sexist cues was employed in 3 experiments to investigate its effect on self-objectification variables. Consistent with system justification theory, exposure to benevolent and complementary forms of sexism...

Multiple-shot person re-identification, which is valuable for application in visual surveillance, tackles the problem of building the correspondence between images of the same person from different cameras. It is challenging because of the large within-class variations due to the changeable body appearance and environment and the small between-class differences arising from the possibly similar...

This paper offers an ethically, philosophically and sociologically founded study of emerging body surveillance technologies and practices. The focus of the study is the transformation of the body into a source of information made possible by developments in technologies such as biometrics thus making biotechnology and information technology come together. Traditionally, and, of course, to a lar...

There is an urgent need for intelligent home surveillance systems to provide home security, monitor health conditions, and detect emergencies of family members. One of the fundamental problems to realize the power of these intelligent services is how to detect, track, and identify people at home. Compared to RFID tags that need to be worn all the time, vision-based sensors provide a natural and...

With a United States-based sample of 326 sexual minority men, the present study tested hypotheses derived from objectification theory (Fredrickson & Roberts, 1997), minority stress theory (e.g., Meyer, 2003), and prior research regarding men and body image (e.g., McCreary & Sasse, 2000). Specifically, we examined a path model wherein objectification constructs (internalized standards of attract...

In the current study, we tested direct and mediated associations of objectification theory constructs and racist discrimination with eating disorder and depressive symptomatology in a sample of 180 Latina women (age range = 18-66). Results of a path analysis indicated that internalization of sociocultural standards of attractiveness was related to greater eating disorder and depressive symptoma...

Introduction Obesity in dogs is a growing concern. Different surveys report a recent increase in dog obesity, their estimates ranging from 22 to over 50%. Surveillance of dog body condition score (BCS) is a routine practice but it is not sensitive enough. Ultrasound (US) assessment of body fat deposits was previously used in different species to predict adiposity, and shows several advantages, ...