Automated Video Summarization for Suspicious Event Detection in Surveillance Systems
Published in 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST 23), Islamabad, Pakistan, 2023
This research proposes an automated video summarization pipeline aimed at detecting suspicious events in surveillance footage. The system integrates OpenCV, ConvLSTM, and LRCN models to enhance threat detection and prevent security incidents.
Recommended citation: S.M. Hussain, Azeem Haider, Affan Habib, Dr. Muhammad Farhan. (2023). "Automated Video Summarization for Suspicious Event Detection in Surveillance Systems." 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST 23).
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