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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2014 Vol.6(5): 438-442 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2014.V6.905

Tracking Occluded Objects Using Kalman Filter and Color Information

Malik M. Khan, Tayyab W. Awan, Intaek Kim, and Youngsung Soh
Abstract—Robust visual tracking is imperative to track multiple occluded objects. Kalman filter and color information tracking algorithms are implemented independently in most of the current research. The proposed method combines extended Kalman filter with past and color information for tracking multiple objects under high occlusion. The proposed method is robust to background modeling technique. Object detection is done using spatio-temporal Gaussian mixture model (STGMM). Tracking consists of two steps: partially occluded object tracking and highly occluded object tracking. Tracking partially occluded objects, extended Kalman filter is exploited with past information of object, whereas for highly occluded object tracking, color information and size attributes are used. The system was tested in real world application and successful results were obtained.

Index Terms—EKF with color, tracking occluded objects, STGMM, robust tracking using color information.

Malik M. Khan, T. W. Awan, I. Kim and Y. Soh are with Myongji University, Yongin, Korea (e-mail: kit@mju.ac.kr).


Cite:Malik M. Khan, Tayyab W. Awan, Intaek Kim, and Youngsung Soh, "Tracking Occluded Objects Using Kalman Filter and Color Information," International Journal of Computer Theory and Engineering vol. 6, no. 5, pp. 438-442, 2014.

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