Real-time robust 3D object tracking and estimation for surveillance system

ABSTRACT We present a new 3D object tracking algorithm that supports multiple planar and nonplanar objects with real‐time processing speed and high accuracy. The main problem of object tracking algorithm is the limitation of the supporting type of target object, slow processing speed, and low tracki...

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Bibliographic Details
Published in:Security and communication networks 2014-10, Vol.7 (10), p.1599-1611
Main Authors: Park, Jin-hyung, Rho, Seungmin, Jeong, Chang-sung
Format: Article
Language:English
Subjects:
3D object tracking
Accelerated tests
Algorithms
Filtering
Microprocessors
multicore
nonplanar object
parallel processing
planar object
Real time
Segments
Three dimensional
Tracking
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Summary:ABSTRACT We present a new 3D object tracking algorithm that supports multiple planar and nonplanar objects with real‐time processing speed and high accuracy. The main problem of object tracking algorithm is the limitation of the supporting type of target object, slow processing speed, and low tracking accuracy. Our algorithm provides high accuracy and real‐time performance while detecting not only planar objects but also nonplanar objects. The real‐time performance is accomplished by using Features from Accelerated Segment Test corner detection, region of interest, and parallel processing on a multicore processor. High accuracy is realized by using a scale‐invariant feature transform descriptor, random sample consensus, region of interest, and double robust filtering. Copyright © 2013 John Wiley & Sons, Ltd. Real‐time 3D object tracking algorithm for multiple planar and non‐planar objects by using Features from Accelerated Segment Test corner detector, scale‐invariant feature transform, Perspective n‐Problem, region of interest, double robust filtering and parallel processing on multi‐core processor.
ISSN:1939-0114
1939-0122
DOI:10.1002/sec.722