Video Analytics
Video content analysis (also video content analytics, VCA) is the capability of automatically analyzing video to detect and determine temporal and spatial events.
This technical capability is used in a wide range of domains including entertainment,[1] health-care, retail, automotive, transport, home automation, flame and smoke detection, safety and security.[2]The algorithms can be implemented as software on general purpose machines, or as hardware in specialized video processing units.
Many different functionalities can be implemented in VCA. Video Motion Detection is one of the simpler forms where motion is detected with regard to a fixed background scene. More advanced functionalities include video tracking and ego-motion estimation.
Based on the internal representation that VCA generates in the machine, it is possible to build other functionalities, such as identification, behavior analysis or other forms of situation awareness.
VCA relies on good input video, so it is often combined with video enhancement technologies such as video denoising, image stabilization, unsharp masking, and super-resolution.
Video Analytics Features:
- Dynamic masking
- Flame and smoke detection
- Ego-motion estimation
- Motion detection
- Shape recognition
- Object detection
- Recognition
- Style detection
- Tamper detection
- Video tracking
- Video Error Level Analysis