A Human-Attention Driven Video Capture Method for Wearable Visual Computing

Abstract:

In this paper, we propose a human-attention driven video capture method for wearable visual computing. This method could help wearable vision system to avoid collecting a lot of meaningless visual images and save the platform resources. We firstly calculate background similarity and recognize user’s attention behavior, then detect user’s active or passive attention status, finally automatically and selectively capture video information according to user’s attention interest. We describe architecture of proposed method and give an experiment to validate its feasible.

• Periodical: Key Engineering Materials (Volumes 467-469)
• Pages: 1361-1366
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.467-469.1361
• Online since: February 2011
• Authors: Lu Han, Fang Zheng Xue, Zu Shu Li, Dong Yi Chen
• Keywords: Human Attention Detection, Video Capture, Wearable Vision, Wearable Visual Computing

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