Building visual memories of video streams

Grech, Raphael; Monekosso, Dorothy; Remagnino, Paolo

Abstract

A real-time method that automatically creates a visual memory of a scene using the growing neural gas (GNG) algorithm is described. The memory consists of a graph where nodes encode the visual information of a video stream as a limited set of representative images. GNG nodes are automatically generated and dynamically clustered. This method could be employed by robotic platforms in exploratory and rescue missions. © 2012 The Institution of Engineering and Technology.

Citation

Grech, R., Monekosso, D., & Remagnino, P. (2012). Building visual memories of video streams. Electronics Letters, 48(9), 487-488. https://doi.org/10.1049/el.2011.3926

• Journal Article Type: Article
• Publication Date: Apr 26, 2012
• Journal: Electronics Letters
• Print ISSN: 0013-5194
• Publisher: Institution of Engineering and Technology (IET)
• Peer Reviewed: Not Peer Reviewed
• Volume: 48
• Issue: 9
• Pages: 487-488
• DOI: https://doi.org/10.1049/el.2011.3926
• Keywords: video signal processing, neural nets, robot vision, image representation, graph theory, real-time method, video stream visual information, robotic platforms, rescue missions, exploratory missions, representative images, scene visual memories, growing neur
• Public URL: https://uwe-repository.worktribe.com/output/948218
• Publisher URL: http://dx.doi.org/10.1049/el.2011.3926