NDLI: QP_TR Trust Region Blob Tracking Through Scale-Space

Content Provider	IEEE Xplore Digital Library
Author	Jingping Jia Qing Wang Yanmei Chai Rongchun Zhao
Copyright Year	2006
Description	Author affiliation: Sch. of Comput. Sci. & Eng., Northwestern Polytech. Univ., Xi'an, China (Jingping Jia; Qing Wang; Yanmei Chai; Rongchun Zhao)
Abstract	A new approach of tracking objects in image sequences is proposed, in which the constant changes of the size and orientation of the target can be precisely described. For each incoming frame, a probability distribution image of the target is created, where the target's area turns into a blob. The scale of this blob can be determined based on the local maxima of differential scale-space filters. We employ the QP_TR trust region algorithm to search the local maxima of orientational multi-scale normalized Laplacian filter of the probability distribution image to locate the target as well as to determine its scale and orientation. Based on the tracking results of sequence examples, the new method is proven to be capable of describing the target more accurately and thus achieves much better tracking precision.
Starting Page	1781
Ending Page	1784
File Size	4702035
Page Count	4
File Format	PDF
ISBN	1424404800
ISSN	15224880
DOI	10.1109/ICIP.2006.312728
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Histograms Filters Brightness Image sequences Probability distribution Laplace equations Filtering theory Pixel Computer science Image sequence analysis Tracking
Content Type	Text
Resource Type	Article

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