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Proceedings Paper

Video-tracker trajectory analysis: who meets whom, when and where
Author(s): U. Jäger; D. Willersinn
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Paper Abstract

Unveiling unusual or hostile events by observing manifold moving persons in a crowd is a challenging task for human operators, especially when sitting in front of monitor walls for hours. Typically, hostile events are rare. Thus, due to tiredness and negligence the operator may miss important events. In such situations, an automatic alarming system is able to support the human operator. The system incorporates a processing chain consisting of (1) people tracking, (2) event detection, (3) data retrieval, and (4) display of relevant video sequence overlaid by highlighted regions of interest. In this paper we focus on the event detection stage of the processing chain mentioned above. In our case, the selected event of interest is the encounter of people. Although being based on a rather simple trajectory analysis, this kind of event embodies great practical importance because it paves the way to answer the question "who meets whom, when and where". This, in turn, forms the basis to detect potential situations where e.g. money, weapons, drugs etc. are handed over from one person to another in crowded environments like railway stations, airports or busy streets and places etc.. The input to the trajectory analysis comes from a multi-object video-based tracking system developed at IOSB which is able to track multiple individuals within a crowd in real-time [1]. From this we calculate the inter-distances between all persons on a frame-to-frame basis. We use a sequence of simple rules based on the individuals' kinematics to detect the event mentioned above to output the frame number, the persons' IDs from the tracker and the pixel coordinates of the meeting position. Using this information, a data retrieval system may extract the corresponding part of the recorded video image sequence and finally allows for replaying the selected video clip with a highlighted region of interest to attract the operator's attention for further visual inspection.

Paper Details

Date Published: 28 April 2010
PDF: 6 pages
Proc. SPIE 7709, Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II, 77090U (28 April 2010); doi: 10.1117/12.850054
Show Author Affiliations
U. Jäger, Fraunhofer Institute IOSB (Germany)
D. Willersinn, Fraunhofer Institute IOSB (Germany)

Published in SPIE Proceedings Vol. 7709:
Cyber Security, Situation Management, and Impact Assessment II; and Visual Analytics for Homeland Defense and Security II
William J. Tolone; John F. Buford; William Ribarsky; Gabriel Jakobson; John Erickson, Editor(s)

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