Sogang University Research Foundation

Industry-University Cooperation Foundation Sogang University

Jaechan Lim

Hyung Min Park

Provided are a prediction value correction method and apparatus. The prediction value correction method includes steps of: (a) determining a prediction condition to be predicted; (b) receiving past prediction values and past measurement values according to the determined prediction condition; (c) filtering the past prediction values and the past measurement values by using an H-infinity filter to obtain an output value for a final time point; (d) estimating a future bias for a date and time point to be predicted by using the output value of the H-infinity filter; and (e) correcting a future prediction value for the date and time point to be predicted by using the estimated future bias to obtain a corrected future prediction value for the date and time point to be predicted.

Method and device for post-correction of predicted parameters by using a H-infinity filter

Provided are an object tracking method and an object tracking system. The object tracking method uses a particle filter configured by combining a Minimax estimation technique with a Monte Carlo sampling method. In the object tracking method, for each of the particles, a feature having a maximum cost among measurement values of at least two or more features is selected, a weight for the particle is calculated by using the measurement value of the selected feature, and a position of the target, object in the frame is estimated by using the weight of each of the candidate particles.

Growing community of inventors

Busan, South Korea

Jaechan Lim