In the past few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Thanks to the popularization of deep learning, video
analytics has introduced the automation of tasks that were once the exclusive purview of humans.
Recent improvements in video analytics have been a game-changer, ranging from applications that monitor traffic jams and alert
in real-time, to others that analyze customers’ flow in retail to maximize sales, along with other more well-known scenarios such as facial recognition or smart parking.
In the past few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Thanks to the popularization of deep learning, video
analytics has introduced the automation of tasks that were once the exclusive purview of humans.
Recent improvements in video analytics have been a game-changer, ranging from applications that monitor traffic jams and alert in
real-time, to others that analyze customers’ flow in retail to maximize sales, along with other more well-known scenarios such as facial recognition or smart parking
In the past few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Thanks to the popularization of deep learning,
video analytics has introduced the automation of tasks that were once the exclusive purview of humans.
Recent improvements in video analytics have been a game-changer, ranging from applications that monitor traffic
jams and alert in real-time, to others that analyze