NDLI: Real Time Mean Shift Tracking using Optical Flow Distribution

Content Provider	IEEE Xplore Digital Library
Author	Oshima, N. Saitoh, T. Konishi, R.
Copyright Year	2006
Description	Author affiliation: Tottori Univ. (Oshima, N.; Saitoh, T.; Konishi, R.)
Abstract	This paper describes about real-time object tracking method based on mean shift tracking algorithm. The mean shift tracking algorithm is an efficient technique for tracking object through an image. The original mean shift tracking is proposed to apply the color image based on the color distribution. A near-infrared camera is used with surveillance system to take in the dark. It is difficult to track the target object in the low contrast image such as the infrared image. To overcome this problem, our idea is to consider optical flow distribution. The proposed method is integrated three distributions (color, flow magnitude and flow direction). Experiments were conducted for the color image and the infrared image compared with the original method. It is shown that our method is able to track a target object in the low contrast image
Starting Page	4316
Ending Page	4320
File Size	4631073
Page Count	5
File Format	PDF
ISBN	8995003847
DOI	10.1109/SICE.2006.314969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-18
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	The Institute of Control, Automation and Systems
Subject Keyword	Image motion analysis Target tracking Cameras Infrared imaging Optical filters Color Colored noise Surveillance Pixel Light emitting diodes Near-Infrared Camera Mean Shift Tracking Optical Flow
Content Type	Text
Resource Type	Article

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