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Natural Language Description of Videos for Smart Surveillance
2021
Applied Sciences
After the September 11 attacks, security and surveillance measures have changed across the globe. Now, surveillance cameras are installed almost everywhere to monitor video footage. Though quite handy, these cameras produce videos in a massive size and volume. The major challenge faced by security agencies is the effort of analyzing the surveillance video data collected and generated daily. Problems related to these videos are twofold: (1) understanding the contents of video streams, and (2)
doi:10.3390/app11093730
fatcat:62o2odoqn5gajk46grynsxaa74