Abstract—For security purposes, it is prerequisite to track multiple targets efficiently. Most of the current implementation uses Kalman filter and color information independently. The proposed method combines extended Kalman filter and color information for tracking multiple objects under high occlusion. For tracking, the first thing done is the object detection. The background model used to segment foreground from background is spatio-temporal Gaussian mixture model (STGMM). Tracking consists of two steps: independent object tracking and occluded object tracking. For independent object tracking we exploit extended Kalman filter, whereas for occluded object tracking, color information attribute is used. The system was tested in real world application and successful results were obtained.

Index Terms—EKF, multi-target tracking, STGMM, tracking using color information.

The authors are with the Myongji University, Yongin, 449-728, Korea (e-mail: kit@mju.ac.kr, soh@mju.ac.kr, malikmk2003@yahoo.com, tayyabwahab90@gmail.com).

Cite:Intaek Kim, Malik Muhammad Khan, Tayyab Wahab Awan, and Youngsung Soh, "Multi-Target Tracking Using Color Information," International Journal of Computer and Communication Engineering vol. 3, no. 1, pp. 11-15, 2014.