Vision-based action recognition is one of the most challenging research topics of computer
vision and pattern recognition. A specific application of it, namely, detecting fights from …

With the increase in video surveillance data, techniques such as video synopsis are being
used to construct small videos for analysis, thereby saving storage resources. The video …

Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

The proliferation of surveillance cameras has resulted in an exponential growth in video
data, which has created several challenges for video data analysis, extraction, and storage …

Video surveillance is one of the most demanding technology to combat security threats. With
the huge amount of video data, the traditional surveillance solutions fail to review volumes of …

Video synopsis is an effective technique for the efficient analysis of long videos in a short
time. To generate a compact video, multiple tracks of moving objects, which we call as tubes …

This paper presents a new surveillance video synopsis method which performs much better
than previous approaches in terms of both compression ratio and artifact. Previously, a …

Video synopsis is an effective solution for fast browsing and retrieval of long surveillance
videos. It aims to shorten long video sequences into its equivalent compact video …

Video surveillance cameras capture huge amount of data 24 hours a day. However, most of
these videos contain redundant data which make the process difficult for browsing and …

Video Surveillance is an active area of research and provides promising security measures
for consumer applications. To ease consumer surveillance investigations, Video Synopsis …