NDLI: Error sensitive gaussian particle filter and its evaluation for contour tracking

Content Provider	IEEE Xplore Digital Library
Author	Chen Peng Qian Hui Wang Wei Zhu Miaoliang
Copyright Year	2009
Description	Author affiliation: College of Computer Science and Technology, Zhejiang University, HangZhou, China (Chen Peng; Qian Hui; Wang Wei; Zhu Miaoliang)
Abstract	We present a novel system for visual based contour tracking and apply it to track the movement of human's head. Currently available technology is used in the implementation to take care of low level video processing and acquisition. The implementation consists of two main parts. First, there is an error sensitive Gaussian particle filter. It estimates the posterior density of the shape being tracked by modeling a Gaussian distribution as a collection of weighted samples. The second part is the observer which takes an estimate of the current shape position, and uses image features to find a new spline. The new spline is projected onto a subspace of Euclidean similarities of a spline template. It successfully tracks the human's head in a video stream, despite the low-resolution and low frame rate of the video.
Starting Page	214
Ending Page	217
File Size	594446
Page Count	4
File Format	PDF
ISBN	9781424434824
DOI	10.1109/IST.2009.5071636
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle filters Particle tracking Spline Gaussian distribution Shape Head Educational institutions Streaming media Filtering Sampling methods splines contour tracking gaussian particle filtering adaptive algorithms
Content Type	Text
Resource Type	Article

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