Tag Archives: Du-Yong Kim

Particle Filter Approach Adapted to Catadioptric Images for Target Tracking Application– Author : Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon – Published Date : 2009 – Place of publication : British Machine Vision Conference (BMVC) Abstract: This paper addresses the problem of object tracking by particle filter in catadioptric images. Whereas a large literature exists for traditional…

Gaussian Mixture Importance Sampling Function for Unscented SMC-PHD Filter– Author : Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon – Published Date : 2013 – Category : Tracking and Detection – Place of publication : Signal Processing Abstract The unscented sequential Monte Carlo probability hypothesis density (USMC-PHD) filter has been proposed to improve the accuracy performance of the…

Multi-Object Tracking Using Hybrid Observation in PHD filter– Author : Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon – Published Date : 2013 – Category : Tracking and Detection – Place of publication : International Conference on Image Processing (ICIP) Abstract In this paper, we propose a novel multi-object tracking method to track unknown number of objects with a single camera…

Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon, “Efficient Importance Sampling Function Design for Sequential Monte Carlo PHD Filter“, Signal Processing, 92(9), pp. 2315-2321, 2012.– Author : Ju Hong Yoon, Du Yong Kim, and Kuk-Jin Yoon – Published Date : 2012 – Category : Visual Tracking – Place of publication : Signal Processing, 92(9), pp. 2315-2321, 2012 Abstract In…