Motion and Feature Based Person Tracking
In Surveillance Videos



Abstract

This work describes a method for accurately
tracking persons in indoor surveillance video stream obtained
from a static camera with difficult scene properties including
illumination changes and solves the major occlusion problem.
First, moving objects are precisely extracted by determining
its motion, for further processing.

INTRODUCTION

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Abstract
We investigate the problem of streaming multiplevideos over multi-hop cognitive radio (CR) networks.Fine-Granularity-Scalability (FGS) and Medium-Grain-Scalable(MGS) videos are adopted to accommodate the heterogeneityamong channel availabilities and dynamic network conditions.We obtain a mixed integer nonlinear programming (MINLP)problem formulation, with objectives to maximize the overallreceived video quality and to achieve fairness among the videosessions, while bounding the collision rate with primary usersunder the presen ....etc

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Digital video capturing is getting popular with the decreasing price of camcorders and the increasing availability of devices with embedded video cameras such as digital-still cameras, mobile phones and PDAs. While a raw home video is considered as visually non-appealing, having multiple recordings of the same event provides the opportunity to combine audio and video segments from different cameras for improving quality and aesthetics. Mixing content from different recordings requires precise synchronization among the recordings. In most prese ....etc

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ABSTRACT
Recent development in multimedia processing and network technologies has facilitated the distribution and sharing multimedia through networks. To increase the security demands of multimedia contents, traditional image content protection schemes use extrinsic approaches, such as watermarking or fingerprinting. However, under many circumstances, extrinsic content protection is not possible. To solve these problems forensic tools via intrinsic fingerprints are developed. Source coding is a common step of natur ....etc

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