![](/images/graphics-bg.png)
Reliable Recognition of Partially Occluded Objects with Correlation Filters
Joint Authors
Kober, Vitaly
Gonzalez-Fraga, Jose A.
Ruchay, Alexey
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Design of conventional correlation filters requires explicit knowledge of the appearance and shape of a target object, so the performance of correlation filters is significantly affected by changes in the appearance of the object in the input scene.
In particular, the performance of correlation filters worsens when objects to be recognized are partially occluded by other objects, and the input scene contains a cluttered background and noise.
In this paper, we propose a new algorithm for the design of a system consisting of a set of adaptive correlation filters for recognition of partially occluded objects in noisy scenes.
Since the input scene may contain different fragments of the target, false objects, and background to be rejected, the system is designed in such a manner to guarantee equally high correlation peaks corresponding to parts of the target in the scenes.
The key points of the system are as follows: (i) it consists of a bank of composite optimum filters, which yield the best performance for different parts of the target; (ii) it includes a fragmentation of the target into a given number of parts in the training stage to provide equal intensity responses of the system for each part of the target.
With the help of computer simulation, the performance of the proposed algorithm for recognition partially occluded objects is compared with that of common algorithms in terms of objective metrics.
American Psychological Association (APA)
Ruchay, Alexey& Kober, Vitaly& Gonzalez-Fraga, Jose A.. 2018. Reliable Recognition of Partially Occluded Objects with Correlation Filters. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1209241
Modern Language Association (MLA)
Ruchay, Alexey…[et al.]. Reliable Recognition of Partially Occluded Objects with Correlation Filters. Mathematical Problems in Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1209241
American Medical Association (AMA)
Ruchay, Alexey& Kober, Vitaly& Gonzalez-Fraga, Jose A.. Reliable Recognition of Partially Occluded Objects with Correlation Filters. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1209241
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209241