NDLI: LoG-DEM: Log Gabor filter and Dominant Eigen Map approaches for moving object detection and

Content Provider	IEEE Xplore Digital Library
Author	Krishna, M.T.G. Ravishankar, M. Babu, R.
Copyright Year	2012
Description	Author affiliation: Department of Computer Science & Engineering, Dayanand Sagar College of Engineering, Bangalore, India (Babu, R.) \|\| Department of Information Science & Engmeermg, Dayanand Sagar College of Engineering, Bangalore, India (Krishna, M.T.G.; Ravishankar, M.)
Abstract	In recent years, the numbers of Visual Surveillance systems have greatly increased, and these systems have developed into intellectual systems that automatically detect, track, and recognize objects in video. Automatic moving object detection and tracking is a very challenging task in video surveillance applications. In this regard, many methods have been proposed for Moving Object Detection and Tracking based on edge, color, texture information. Due to unpredictable characteristics of objects in foggy videos, the task of object detection remains a challenging problem. In this paper, we propose a novel scheme for moving object detection based on Log Gabor filter (LGF) and Dominant Eigen Map (DEM) approaches. Location of the moving object is obtained by performing connected component analysis. In turn, a Moving Object is Tracked based on the centroid manipulation. Number of experiments is performed using indoor and outdoor video sequences. The proposed method is tested on standard PETS datasets and many real time video sequences. Results obtained are satisfactory and are compared with existing well known traditional methods.
Starting Page	568
Ending Page	573
File Size	947095
Page Count	6
File Format	PDF
ISBN	9781467351171
ISSN	21647143
e-ISBN	9781467351195
DOI	10.1109/ISDA.2012.6416600
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Moving Object Detection Dominant Eigen Map Visual Surveillance Log Gabor Intelligent systems Erbium Moving Object Tracking
Content Type	Text
Resource Type	Article

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