Authors:
Çağlar Aytekin
1
;
Emre Tunalı
2
and
Sinan Öz
2
Affiliations:
1
Middle East Technical University, Turkey
;
2
ASELSAN Inc. Microelectronics and Guidance and Electro-Optics Division, Turkey
Keyword(s):
Real-time Target Initialization, Saliency, Distinctive Feature Selection, Long-term Tracking, Center-surround Histogram Difference, Error Compensation.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Robotics
;
Software Engineering
;
Tracking and Visual Navigation
Abstract:
In this study, a semi-automatic target initialization algorithm is introduced based on a recently proposed visual saliency approach. First, a center-surround difference based initial window selection is utilized around the input point coordinate provided by the user, in order to select the window which is most likely to contain the actual target and background satisfying piecewise connectivity. Then, a recently proposed visual saliency algorithm is exploited in order to detect the bounding box encapsulating the most salient part of the object.
The experiments support that the saliency based tracking window initialization is capable of handling marking errors, i.e. erroneous user inputs, and boosts the performance of several tracking algorithms in terms of the number of frames in which successful tracking is achieved, when compared with several fixed window size initializations.