TR2003-145

Multi-Camera Surveillance: Object-Based Summarization Approach


    •  Porikli, F., "Multi-Camera Surveillance: Object-Based Summarization Approach", Tech. Rep. TR2003-145, Mitsubishi Electric Research Laboratories, Cambridge, MA, March 2004.
      BibTeX TR2003-145 PDF
      • @techreport{MERL_TR2003-145,
      • author = {Porikli, F.},
      • title = {Multi-Camera Surveillance: Object-Based Summarization Approach},
      • institution = {MERL - Mitsubishi Electric Research Laboratories},
      • address = {Cambridge, MA 02139},
      • number = {TR2003-145},
      • month = mar,
      • year = 2004,
      • url = {https://www.merl.com/publications/TR2003-145/}
      • }
  • Research Area:

    Computer Vision

Abstract:

An automatic object tracking and video summarization method for multicamera systems with a large number of non-overlapping field-of-view cameras is explained. In this system, video sequences are stored for each object as opposed to storing a sequence for each camera. Object-based representation enables annotation of video segments, and extraction of content semantics for further analysis and summarization. Objects are tracked at each camera by background subtraction and mean-shift analysis. Then the correspondence of objects between different cameras is established by using a Bayesian Belief Network. This framework empowers the user to get a concise response to queries such as "which locations did an object visited on Monday and what did he do there?"