Video surveillance technologies are becoming ubiquitous in modern-day society. Visit any building in the public domain globally that permits the general public to attend, stop at a vehicle traffic light, or consider the number of household video surveillance cameras homeowners are installing at very fast rates, and one can quickly ascertain the speed at which the technology is being implemented.
The process of manually monitoring or reviewing video surveillance can be arduous and inefficient. Additionally, using automation and analysis techniques to search surveillance output requires the use of algorithms and intelligence.