A fall is an abnormal activity that occurs rarely; however, missing to identify falls can have
serious health and safety implications on an individual. Due to the rarity of occurrence of …

Plan recognition, activity recognition, and intent recognition together combine and unify
techniques from user modeling, machine vision, intelligent user interfaces, human/computer …

US PATENT DOCUMENTS demographic for the context. The sensor data can also include
user reported data with explicit descriptions of a demographic for the context. The …

Understanding video events, ie, the translation of low-level content in video sequences into
high-level semantic concepts, is a research topic that has received much interest in recent …

This chapter reports on progress made in the development of techniques and tools to
formalize, describe, detect and understand movement patterns in spatiotemporal data. The …

In this paper a bottom-up approach for human behaviour understanding is presented, using
a multi-camera system. The proposed methodology, given a training set of normal data only …

This paper gives a review of current state of the art in the development of robust and
intelligent surveillance systems, going beyond traditional vision based framework to more …

Population aging is a serious problem affecting both the developed and the less developed
countries of the world. In 2009, the elderly aged 60 and over made up 11 percent of the …

This paper shows the algorithm implementation for a field-programmable gate array (FPGA)-
based design for people counting using a low-level head-detection method. The hardware …

There are numerous applications where we wish to discover unexpected activities in a
sequence of time-stamped observation data--for instance, we may want to detect …