People Tracking System using Kalman Filter

C.-T. Hsieh, C.-Y. Chen, and Y.-K. Wu (Taiwan)


tracking, DWT, kalman filter


This paper presents a framework to track people using wavelet transform and kalman filter in unconstrained environments. The tracking system is efficient and effective framework by combining the corrections between color and position information as the recognition technique of the feature tracking. The numbers of the zero in the wavelet coefficients is also adopted to be one of the tracking features and the kalman filter is adopted to be the estimator in this system. Experiments show that the system we proposed achieve optimal performance based on any complicated backgrounds.

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