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Semi-interactive tracing of persons in real-life surveillance data

Published: 29 October 2010 Publication History

Abstract

To increase public safety, more and more surveillance cameras have been placed over the years. To deal with the resulting information overload many methods have been deployed, focusing either on real-time crime detection or post-incident investigation. In this paper we concentrate on post-incident investigation i.e. crime reconstruction using video data. For a complete crime reconstruction, the location of all persons of interest should be known before and during the incident. To do so, we follow persons within the field of view of a single camera (tracking) and between different cameras (tracing).
We present a semi-interactive approach to post-incident investigation. This method is specifically capable of tracking and tracing persons of interest. Our system supports the analytical reasoning process of the investigator with automatic analysis, visualization methods, and interaction processing. We show that the automatic tracing method significantly speeds up tracing of persons with clear visual characteristics. Tracing of persons without obvious characteristics is an inherently difficult task, but we show that intelligent use of interactive methods greatly improves the tracing performance of our system.

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Cited By

View all
  • (2015)Using dominant sets for data association in multi-camera trackingProceedings of the 9th International Conference on Distributed Smart Cameras10.1145/2789116.2789126(38-43)Online publication date: 8-Sep-2015
  • (2012)Collaborative Sparse Approximation for Multiple-Shot Across-Camera Person Re-identificationProceedings of the 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance10.1109/AVSS.2012.21(209-214)Online publication date: 18-Sep-2012
  • (2011)Appearance tracking by transduction in surveillance scenariosProceedings of the 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance10.1109/AVSS.2011.6027309(142-147)Online publication date: 30-Aug-2011
  • Show More Cited By

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Published In

cover image ACM Conferences
MiFor '10: Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
October 2010
134 pages
ISBN:9781450301572
DOI:10.1145/1877972
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 29 October 2010

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Author Tags

  1. person matching
  2. real-life surveillance
  3. relevance feedback

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MM '10
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MM '10: ACM Multimedia Conference
October 29, 2010
Firenze, Italy

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Cited By

View all
  • (2015)Using dominant sets for data association in multi-camera trackingProceedings of the 9th International Conference on Distributed Smart Cameras10.1145/2789116.2789126(38-43)Online publication date: 8-Sep-2015
  • (2012)Collaborative Sparse Approximation for Multiple-Shot Across-Camera Person Re-identificationProceedings of the 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance10.1109/AVSS.2012.21(209-214)Online publication date: 18-Sep-2012
  • (2011)Appearance tracking by transduction in surveillance scenariosProceedings of the 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance10.1109/AVSS.2011.6027309(142-147)Online publication date: 30-Aug-2011
  • (2010)Second ACM international workshop on multimedia in forensics, security and intelligence (MiFor 2010)Proceedings of the 18th ACM international conference on Multimedia10.1145/1873951.1874348(1741-1742)Online publication date: 25-Oct-2010

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