Recent advancements in intelligent surveillance systems for video analysis have been a
topic of great interest in the research community due to the vast number of applications to …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Action recognition has become a hot topic within computer vision. However, the action
recognition community has focused mainly on relatively simple actions like clap** …

Without doubt general video and sound, as found in large multimedia archives, carry
emotional information. Thus, audio and video retrieval by certain emotional categories or …

With the development of video-sharing websites, P2P, micro-blog, mobile WAP websites,
and so on, sensitive videos can be more easily accessed. Effective sensitive video …

Video semantic analysis (VSA) has received significant attention in the area of Machine
Learning for some time now, particularly video surveillance applications with sparse …

A real-time violence detection algorithm based on a new descriptor using the magnitude and
direction changes of movement in images is proposed. The descriptor was developed from …

Abstract Slow Feature Analysis (SFA) is an unsupervised learning algorithm which extracts
slowly varying features from a temporal vectorial signal. In SFA, feature slowness is …

Violent behavior recognition is a specific research direction of human behavior recognition.
Published reviews mainly focuses on the development of deep learning in the field of …

This paper first introduces the Pixel Tracking methods to solve the optical flow information
from the original video frames, based on which the optical flow field is established. In this …