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 …

Even great efforts have been made for decades, the recognition of human activities is still an
unmature technology that attracted plenty of people in computer vision. In this paper, a …

Recognition of human actions in a video acquired by a moving camera typically requires
standard preprocessing steps such as motion compensation, moving object detection and …

The evolution of technologies for the capture of human movement has been motivated by a
number of potential applications across a wide variety of fields. However, capturing human …

This paper proposes a real-time water quality monitoring scheme, which is based on judging
time-series motion trajectories of live fish acquired by a CCD camera. The proposed scheme …

Motion trajectory is a meaningful and informative clue in characterizing the motions of
human, robots or moving objects. Hence, it is important to explore effective motion trajectory …

Motion trajectories provide a key and informative clue in motion characterization of humans,
robots and moving objects. In this paper, we propose some new integral invariants for space …

Motion trajectories have been widely used for gesture recognition. An effective
representation of 3D motion trajectory is important for capturing and recognizing complex …

The focus of this chapter is to present a survey on the most recent advances in
representation and analysis of video object trajectories, with application to indexing and …

Automatic recognition of dance gesture is one important research area in computer vision
with many potential applications. Bali traditional dance comprises of many dance gestures …