DSP embedded smart surveillance sensor with robust SWAD-based tracker
Di Caterina, Gaetano and Hunter, Iain and Soraghan, John J.; Blanc-Talon, Jacques and Philips, Wilfried and Popescu, Dan and Scheunders, Paul and Zemčík, Pavel, eds. (2012) DSP embedded smart surveillance sensor with robust SWAD-based tracker. In: Advanced Concepts for Intelligent Vision Systems. Lecture Notes in Computer Science, 7517 . Springer Berlin Heidelberg, CZE, pp. 48-58. ISBN 9783642331398 (https://doi.org/10.1007/978-3-642-33140-4_5)
Preview |
PDF.
Filename: DiCaterina_etal_ACIVS2012_dsp_embedded_smart_surveillance_sensor.pdf
Accepted Author Manuscript Download (706kB)| Preview |
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.
ORCID iDs
Di Caterina, Gaetano ORCID: https://orcid.org/0000-0002-7256-0897, Hunter, Iain and Soraghan, John J. ORCID: https://orcid.org/0000-0003-4418-7391; Blanc-Talon, Jacques, Philips, Wilfried, Popescu, Dan, Scheunders, Paul and Zemčík, Pavel-
-
Item type: Book Section ID code: 51261 Dates: DateEvent2012PublishedNotes: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-33140-4_5 Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 27 Jan 2015 05:15 Last modified: 11 Nov 2024 14:58 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/51261