Improved Correlation Filter Tracking with Enhanced Features and Adaptive Kalman Filter

Doppler and bearing tracking using fuzzy adaptive unscented Kalman filter

The topic of Doppler and Bearing Tracking (DBT) problem is to achieve a target trajectory using the Doppler and Bearing measurements. The difficulty of DBT problem comes from the nonlinearity terms exposed in the measurement equations. Several techniques were studied to deal with this topic, such as the unscented Kalman filter. Nevertheless, the performance of the filter depends directly on the...

Robust Fingertip Tracking with Improved Kalman Filter

This paper presents a novel approach to reliably tracking multiple fingertips simultaneously using a single optical camera. The proposed technique uses the skin color model to extract the hand region and identifies fingertips via curvature detection. It can remove different types of interfering points through the cross product of vectors and the distance transform. Finally, an improved Kalman f...

Extended Kalman Filter Based Fuzzy Adaptive Filter

Real-time Tracking with Kalman Filter

automatically updated during the matching process, This paper describes a real-time tracking system which detects an object entering into the field of view of camera and executes the tracking of the detected object by controlling a servo device so that a target object always lies at the center of an image frame. In order to detect and track a moving object, we basically apply a model matching s...

Target Tracking Algorithm Based on Improved Unscented Kalman Filter

In order to improve the performance of target tracking and solve the defects of unscented Kalman filter, a target tracking algorithm based on improved unscented Kalman filter is proposed in this paper. Firstly, the fading factor is introduced into the filter based on strong tracking filter to avoid the filter divergence, and then wavelet transform is used to estimate the statistical characteris...