Foreground detection methods can be applied to efficiently distinguish foreground objects
including moving or static objects from background which is very important in the application …

Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …

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 …

Video summarization aims to generate a compact summary of the original video for efficient
video browsing. To provide video summaries which are consistent with the human …

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 synopsis is an effective technique to provide a compact representation of the original
video by removing spatiotemporal redundancies and by preserving the essential activities …

The commercialization and advancement of unmanned aerial vehicles (UAVs) have
increased in the past decades for surveillance. UAVs use gimbal cameras and LIDAR …

Video synopsis is an activity-based video condensation approach to achieve efficient video
browsing and retrieval for surveillance cameras. It is one of the most effective ways to reduce …