Video Analytics Based Identification and Tracking in Smart Spaces

Nowadays, video cameras have become a necessary part of everyday life. These cameras can be found at various places for surveillance, health care, emergencies and disasters. In modern technology, the availability of cheaper and faster communication technologies and efficient algorithms has led to a large-scale deployment of camera networks. Now, Video Content Analysis also referred as Intelligent Video Analytics is used to detect, track and analyze the movement and behaviors of objects and humans. This topic finds various applications because ability to recognize, track and take out information about human activity is very much required. The more technical uses of video content analytics are in face recognition, license plate recognition, tracking a moving object, searching for an object, identifying the geographic location of something, detecting suspicious activities etc. This paper proposes to show and review various algorithms and steps for the applications of the video content analysis that are available in the present date and will also highlight the problems that still exist to find correct results.