This paper presents a special matrix factorization based on sparse representation that
detects anomalies in video sequences generated with moving cameras. Such …

This paper presents a family of algorithms based on sparse decompositions that detect
anomalies in video sequences obtained from slow moving cameras. These algorithms start …

Expressway traffic event detection at night is essential for improving rescue efficiency and
avoiding secondary accidents. Most expressways in China have built a complete …

In the past few decades, research has been carried out to automatically find humans in a
video sequence. Automatically detecting humans in videos is gaining interest for numerous …

Moving human is quite complicated to track since there are variations in background,
texture, and lighting in an environment. This paper presents an effective method for tracking …

Moving objects detection is a vital field of study in various applications. Many of such
applications may have to capture and process a lot of data, then such these data need to be …

In this paper, wepresent a novel method to detect and classify moving objects from
surveillancevideos that are obtained from a moving camera. In our method, we first …

At present, most highways in China have established full-coverage video systems, but
highway traffic event detection still uses alarms and manual inspections. Especially, the high …

This work presents two methods based on sparse decompositions that can detect anomalies
in video sequences obtained from moving cameras. The first method starts by computing the …

A solution for the detecion of anomalies, such as change and moving objects in videos, is to
obtain a low-rank representation of the frames that compose the video sequence and try to …