Title :
Video Summarization for Object Tracking in the Internet of Things
Author_Institution :
Dept. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
Abstract :
Object tracking in the Internet of Things (IoT) has become a hot topic over the past ten years. Currently, the integration of video and radio-frequency identification (RFID) technology plays a crucial role in item-level activity recognition. Various techniques and applications have been proposed for visual object tracking. However, identifying semantic features of item-level objects in huge size of video content is a non-trivial task, especially in supply chain management. To alleviate this problem, this paper presents a novel method that applies IoT information to facilitate video summarization. Differing from common video summarization techniques, we use IoT information to select key frames of the video content during the background model establishment. Then we match other key frames with the background to extract important features. Finally, a compact summarization image for queried objects is generated according to a clustering analysis. We have also performed experiments to confirm the effectiveness of the proposed work.
Keywords :
Internet of Things; feature extraction; image matching; object tracking; pattern clustering; radiofrequency identification; video signal processing; Internet of Things; IoT information; RFID technology; background model establishment; clustering analysis; compact summarization image; feature extraction; item-level activity recognition; item-level objects; keyframe matching; nontrivial task; object query; radio-frequency identification technology integration; semantic feature identification; supply chain management; video content keyframe selection; video integration; video summarization; visual object tracking; Belts; Clustering algorithms; Image segmentation; Object tracking; RFID tags; Visualization; Background Modeling; Internet of Things; Object Tracking; RFID; Video Summarization;
Conference_Titel :
Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth International Conference on
Conference_Location :
Oxford
Print_ISBN :
978-1-4799-5072-0
DOI :
10.1109/NGMAST.2014.20