Vision-based human action and activity recognition has an increasing importance among
the computer vision community with applications to visual surveillance, video retrieval and …

Of the many crowd behavior models, very few have been used in assisting crowd
management practice. This lack of usage is partly due to crowd management involving a …

This paper presents an approach for detecting anomalous events in videos with crowds. The
main goal is to recognize patterns that might lead to an anomalous event. An anomalous …

In the year 1999 the world population reached 6 billion, doubling the previous census
estimate of 1960. Recently, the United States Census Bureau issued a revised forecast for …

Visual surveillance is an active research topic in image processing. Transit systems are
actively seeking new or improved ways to use technology to deter and respond to accidents …

Passive infrared sensors have widespread use in many applications, including motion
detectors for alarms, lighting systems and hand dryers. Combinations of multiple PIR …

A software energy estimation methodology is presented that avoids explicit characterization
of instruction energy consumption and pre-dicts energy consumption to within 3% accuracy …

With the growing concerns over public safety, the importance of crowd monitoring is being
realized by various security and event management agencies worldwide. Estimation of …

Video-surveillance systems are becoming more and more autonomous in the detection and
the reporting of abnormal events. In this context, this paper presents an approach to detect …

In this paper, a weakly supervised framework is proposed for Abnormal Behavior Detection
and Localization (ABDL) in the scenes. First, the objects in the scene such as pedestrians …