DSP embedded smart surveillance sensor with robust SWAD-based tracker

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3 Citations (Scopus)
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Abstract

Smart video analytics algorithms can be embedded within surveillance sensors for fast in-camera processing. This paper presents a DSP embedded video analytics system for object and people tracking, using a PTZ camera. The tracking algorithm is based on adaptive template matching and it employs a novel Sum of Weighted Absolute Differences. The video analytics is implemented on the DSP board DM6437 EVM and it automatically controls the PTZ camera, to keep the target central to the field of view. The EVM is connected to the network and the tracking algorithm can be remotely activated, so that the PTZ enhanced with the DSP embedded video analytics becomes a smart surveillance sensor. The system runs in real-time and simulation results demonstrate that the described SWAD outperforms other template matching measures in terms of efficiency and accuracy.
Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems
Subtitle of host publication14th International Conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012. Proceedings
EditorsJacques Blanc-Talon, Wilfried Philips, Dan Popescu, Paul Scheunders, Pavel Zemčík
Place of PublicationBerlin
Pages48-58
Number of pages11
Volume7517
DOIs
Publication statusPublished - 2012
EventAdvanced Concepts for Intelligent Vision Systems - Brno, Czech Republic
Duration: 4 Sep 20127 Sep 2012

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume7517
ISSN (Print)0302-9743

Conference

ConferenceAdvanced Concepts for Intelligent Vision Systems
CountryCzech Republic
CityBrno
Period4/09/127/09/12

Keywords

  • absolute difference
  • adaptive template matching
  • DSP boards
  • field of views
  • people tracking
  • PTZ camera
  • smart surveillance
  • surveillance sensors
  • tracking algorithm

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  • Cite this

    Di Caterina, G., Hunter, I., & Soraghan, J. J. (2012). DSP embedded smart surveillance sensor with robust SWAD-based tracker. In J. Blanc-Talon, W. Philips, D. Popescu, P. Scheunders, & P. Zemčík (Eds.), Advanced Concepts for Intelligent Vision Systems: 14th International Conference, ACIVS 2012, Brno, Czech Republic, September 4-7, 2012. Proceedings (Vol. 7517, pp. 48-58). (Lecture Notes in Computer Science; Vol. 7517).. https://doi.org/10.1007/978-3-642-33140-4_5