Society is rapidly accepting the use of video cameras in many new and varied locations, but
effective methods to utilize and manage the massive resulting amounts of visual data are …

This paper presents two different types of visual activity analysis modules based on vehicle
tracking. The highway monitoring module accurately classifies vehicles into eight different …

In recent years there has been an increased interest in the modeling and recognition of
human activities involving highly structured and semantically rich behavior such as dance …

This paper presents a survey of trajectory-based activity analysis for visual surveillance. It
describes techniques that use trajectory data to define a general set of activities that are …

Hidden Markov models (HMMs) have become the workhorses of the monitoring and event
recognition literature because they bring to time-series analysis the utility of density …

This article comprehensively surveys the development of trajectory data classification.
Considering the critical role of trajectory data classification in modern intelligent systems for …

Motion trajectories provide rich spatiotemporal information about an object's activity. This
paper presents novel classification algorithms for recognizing object activity using object …

Changes in motion properties of trajectories provide useful cues for modeling and
recognizing human activities. We associate an event with significant changes that are …

In this paper we develop a system for human behaviour recognition in video sequences.
Human behaviour is modelled as a stochastic sequence of actions. Actions are described by …

Recognizing human activities from sensor readings has recently attracted much research
interest in pervasive computing due to its potential in many applications, such as assistive …