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Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature
Joint Authors
Li, Zhiyong
Li, Pengfei
Yu, Xiaoping
Hashem, Mervat
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
It is a challenge to represent the target appearance model for moving object tracking under complex environment.
This study presents a novel method with appearance model described by double templates based on timed motion history image with HSV color histogram feature (tMHI-HSV).
The main components include offline template and online template initialization, tMHI-HSV-based candidate patches feature histograms calculation, double templates matching (DTM) for object location, and templates updating.
Firstly, we initialize the target object region and calculate its HSV color histogram feature as offline template and online template.
Secondly, the tMHI-HSV is used to segment the motion region and calculate these candidate object patches’ color histograms to represent their appearance models.
Finally, we utilize the DTM method to trace the target and update the offline template and online template real-timely.
The experimental results show that the proposed method can efficiently handle the scale variation and pose change of the rigid and nonrigid objects, even in illumination change and occlusion visual environment.
American Psychological Association (APA)
Li, Zhiyong& Li, Pengfei& Yu, Xiaoping& Hashem, Mervat. 2014. Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051052
Modern Language Association (MLA)
Li, Zhiyong…[et al.]. Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051052
American Medical Association (AMA)
Li, Zhiyong& Li, Pengfei& Yu, Xiaoping& Hashem, Mervat. Real-Time Tracking by Double Templates Matching Based on Timed Motion History Image with HSV Feature. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051052
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051052