Survey on contemporary remote surveillance systems for public safety
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Evaluating video visualizations of human behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A user-centric control and navigation for augmented virtual environment surveillance application
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services
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Many interesting and promising prototypes for visualizing video data have been proposed, including those that combine videos with their spatial context (contextualized videos). However, relatively little work has investigated the fundamental design factors behind these prototypes in order to provide general design guidance. Focusing on real-time video data visualization, we evaluated two important design factors — video placement method and spatial context presentation method — through a user study. In addition, we evaluated the effect of spatial knowledge of the environment. Participants’ performance was measured through path reconstruction tasks, where the participants followed a target through simulated surveillance videos and marked the target paths on the environment model. We found that embedding videos inside the model enabled realtime strategies and led to faster performance. With the help of contextualized videos, participants not familiar with the real environment achieved similar task performance to participants that worked in that environment. We discuss design implications and provide general design recommendations for traffic and security surveillance system interfaces.