Osama Rabie

Afnan Alazbah, Khalid Fakeeh, Osama Rabie

Computer vision and machine learning have brought revolutionary shifts in perception for researchers, scientists, and the general populace. Once thought to be unattainable, these technologies have achieved the seemingly impossible. Their exceptional applications in diverse fields like security, agriculture, and education are a testament to their impact. However, the full potential of computer vision remains untapped. This paper explores computer vision's potential in security and surveillance, presenting a novel approach to track motion in videos. By categorizing motion into Arcs, Lanes, Converging/Diverging, and Random/Block motions using Motion Information Images and Blockwise dominant motion data, the paper examines different optical flow techniques, CNN models, and machine learning models. Successfully achieving its objectives with promising accuracy, the results can train anomaly-detection models, provide behavioral insights based on motion, and enhance scene comprehension.

Afnan Alazbah, Khalid Fakeeh, Osama Rabie

This paper focuses on the crucial task of addressing the evacuation of hazardous places, which holds great importance for coordinators, event hosts, and authorities. To facilitate the development of effective solutions, the paper employs Artificial Intelligence (AI) techniques, specifically Multi-Agent Systems (MAS), to construct a simulation model for evacuation. NetLogo is selected as the simulation tool of choice due to its ability to provide a comprehensive understanding of human behaviour in distressing situations within hazardous environments. The primary objective of this paper is to enhance our comprehension of how individuals react and respond during such distressing situations. By leveraging AI and MAS, the simulation model aims to capture the complex dynamics of evacuation scenarios, enabling policymakers and emergency planners to make informed decisions and implement more efficient and effective evacuation strategies. This paper endeavours to contribute to the advancement of evacuation planning and ultimately improve the safety and well-being of individuals in hazardous places