Co-difference based object tracking algorithm for infrared videos

This paper presents a novel infrared (IR) object tracking algorithm based on the co-difference matrix. Extraction of co-difference features is similar to the well known covariance method except that the vector product operator is redefined in a multiplication-free manner. The new operator yields a c...

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Bibliographic Details
Main Authors: Demir, H. Seckin, Cetin, A. Enis
Format: Conference Proceeding
Language:English
Subjects:
co-difference matrix
covariance features
Covariance matrices
infrared band
Object tracking
Surveillance
Symmetric matrices
Videos
Visualization
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Description
Summary:This paper presents a novel infrared (IR) object tracking algorithm based on the co-difference matrix. Extraction of co-difference features is similar to the well known covariance method except that the vector product operator is redefined in a multiplication-free manner. The new operator yields a computationally efficient implementation for real time object tracking applications. Experiments on an extensive set of IR image sequences indicate that the new method performs better than covariance tracking and other tracking algorithms without requiring any multiplication operations.
ISSN:2381-8549
DOI:10.1109/ICIP.2016.7532394