Due to the recent advances in cameras, cell phones and camcorders, particularly the
resolution at which they can record an image/video, large amounts of data are generated …

Recent past has observed a rapid increase in the availability of inexpensive video cameras
producing good quality videos. The video streams coming from these cameras need to be …

Object detection and classification are the basic tasks in video analytics and become the
starting point for other complex applications. Traditional video analytics approaches are …

Video Analytics is widely used by the internet‐based platforms to govern the mass
consumption of videos. Traditionally, it is carried out from the decoded format of the videos …

Video analytics systems based on deep learning approaches are becoming the basis of
many widespread applications including smart cities to aid people and traffic monitoring …

Due to the recent advances in cameras, cell phones and camcorders, particularly the
resolution at which they can record an image/video, large amounts of data are generated …

Object classification is a vital part of any video analytics system, which could aid in complex
applications such as object monitoring and management. Traditional video analytics …

Over the last few years surveillance cameras have become ubiquitous. With so many
cameras, analyzing the output manually has become very laborious and inefficient. In recent …

Generally, a set of frames represents a video structure, clips, or scenes. A segmentation
process including breaking down a video sequence into its main components should pre …

With the prevalence of video material, the problem of real-time object recognition has
become crucial, finding applications in several fields such as surveillance and driverless …