@inproceedings{644cb7c2a8a7413da31b319e01d55e50,
title = "DSP embedded smart surveillance sensor with robust SWAD-based tracker",
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.",
keywords = "absolute difference, adaptive template matching , DSP boards, field of views, people tracking, PTZ camera, smart surveillance, surveillance sensors, tracking algorithm",
author = "{Di Caterina}, Gaetano and Iain Hunter and Soraghan, {John J.}",
note = "The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-33140-4_5; Advanced Concepts for Intelligent Vision Systems ; Conference date: 04-09-2012 Through 07-09-2012",
year = "2012",
doi = "10.1007/978-3-642-33140-4_5",
language = "English",
isbn = "9783642331398",
volume = "7517",
series = "Lecture Notes in Computer Science",
publisher = "Springer Berlin Heidelberg",
pages = "48--58",
editor = "Jacques Blanc-Talon and Wilfried Philips and Dan Popescu and Paul Scheunders and Pavel Zem{\v c}{\'i}k",
booktitle = "Advanced Concepts for Intelligent Vision Systems",
}