Paper
29 May 2013 Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall
Henri Bouma, Jan Baan, Sander Landsmeer, Chris Kruszynski, Gert van Antwerpen, Judith Dijk
Author Affiliations +
Abstract
The capability to track individuals in CCTV cameras is important for e.g. surveillance applications at large areas such as train stations, airports and shopping centers. However, it is laborious to track and trace people over multiple cameras. In this paper, we present a system for real-time tracking and fast interactive retrieval of persons in video streams from multiple static surveillance cameras. This system is demonstrated in a shopping mall, where the cameras are positioned without overlapping fields-of-view and have different lighting conditions. The results show that the system allows an operator to find the origin or destination of a person more efficiently. The misses are reduced with 37%, which is a significant improvement.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Henri Bouma, Jan Baan, Sander Landsmeer, Chris Kruszynski, Gert van Antwerpen, and Judith Dijk "Real-time tracking and fast retrieval of persons in multiple surveillance cameras of a shopping mall", Proc. SPIE 8756, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2013, 87560A (29 May 2013); https://doi.org/10.1117/12.2016090
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CITATIONS
Cited by 28 scholarly publications and 12 patents.
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KEYWORDS
Cameras

Databases

RGB color model

Surveillance

Video

Imaging systems

Human-machine interfaces

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