An informatics-based approach to object tracking for distributed live video computing

作者：Aved Alexander J^*; Hua Kien A

来源：Multimedia Tools and Applications, 2014, 68(1): 111-133.

DOI：10.1007/s11042-012-1204-z

• Distributed computing
• Network
• Streaming video
• Stream processing
• Query evaluation
• Tracking

Omnipresent camera networks have been a popular research topic in recent years. They are applicable to a range of monitoring tasks, from bridges to gas stations to the inside of industrial chemical tanks. Though a large body of existing work focuses on image and video processing techniques, very few address the usability of such systems or the implications of real-time video dissemination. In this article, we present our work on extending the LVDBMS prototype with a multifaceted object model to characterize objects in live video streams. This forms the basis for a cross-camera tracking framework which permits objects to be tracked from one video stream to another. With this infrastructure, real-time queries may be posed to monitor complex events that occur in multiple video streams simultaneously. This live video database environment provides a general-purpose platform for distributed live video computing with the goal of enabling rapid application development for camera networks.

• 出版日期2014-1