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Journal ArticleDOI

FPGA Based Embedded Implementation of Video Summary Generation Scheme in Smart Camera

TLDR
An embedded platform based framework for implementing summary generation scheme using HW-SW Co-Design based methodology is proposed and the complete system is implemented on Xilinx XUP Virtex-II Pro FPGA board.
Abstract
In any remote surveillance scenario, smart cameras have to take intelligent decisions to generate summary frames to minimize communication and processing overhead. Video summary generation, in the context of smart camera, is the process of merging the information from multiple frames. A summary generation scheme based on clustering based change detection algorithm has been implemented in our smart camera system for generating frames to deliver requisite information. In this paper we propose an embedded platform based framework for implementing summary generation scheme using HW-SW Co-Design based methodology. The complete system is implemented on Xilinx XUP Virtex-II Pro FPGA board. The overall algorithm is running on PowerPC405 and some of the blocks which are computationally intensive and more frequently called are implemented in hardware using VHDL. The system is designed using Xilinx Embedded Design Kit (EDK).

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Citations
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Journal ArticleDOI

FPGA-Based Real-Time Motion Detection for Automated Video Surveillance Systems

TL;DR: The working prototype of a complete standalone automated video surveillance system, including input camera interface, designed motion detection VLSI architecture, and output display interface, with real-time relevant motion detection capabilities, has been implemented on Xilinx ML510 (Virtex-5 FX130T) FPGA platform.
Book ChapterDOI

FPGA-Based Smart Camera System for Real-Time Automated Video Surveillance

TL;DR: The design and implementation of an FPGA-based smart camera system for automated video surveillance that meets the real-time requirements of video surveillance applications while aiming atFPGA resource reduction is presented.
References
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Image change detectio algorithms : A systematic survey

R. J. Radke
TL;DR: A systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling is presented.
Journal ArticleDOI

Image change detection algorithms: a systematic survey

TL;DR: In this paper, the authors present a systematic survey of the common processing steps and core decision rules in modern change detection algorithms, including significance and hypothesis testing, predictive models, the shading model, and background modeling.
Journal ArticleDOI

Introduction to the special section on video surveillance

TL;DR: The 11 papers in this special section illustrate topics and techniques at the forefront of video surveillance research, touching on many of the core topics of computer vision, pattern analysis, and aritificial intelligence.

Real-Time Adaptive Foreground/Background Segmentation

TL;DR: In this paper, the authors proposed a new algorithm that represents each pixel in the frame by a group of clusters, sorted in order of the likelihood that they model the background and adapted to deal with background and lighting variations.
Journal ArticleDOI

Real-time adaptive foreground/background segmentation

TL;DR: A new algorithm is proposed that represents each pixel in the frame by a group of clusters that is capable of processing PAL video at full frame rate using only 35%–40% of a GHz Pentium 4 computer.
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