Sangjin Kim - Academia.edu (original) (raw)
Uploads
Papers by Sangjin Kim
Diabetes Research and Clinical Practice, 2000
Diabetes Research and Clinical Practice, 2000
Journal of Wind Engineering and Industrial Aerodynamics, 1999
Wind velocity and temperature fields over Kobe city which experienced a large-scale fire are nume... more Wind velocity and temperature fields over Kobe city which experienced a large-scale fire are numerically simulated by using CFD (Computational Fluid Dynamics) technique based on a turbulence model. Two cases of numerical simulations are studied for a typical meteorological condition of winter; one is with fire and the other is without fire. The result shows that the characteristics of wind velocity field over Kobe city are well predicted in both cases. In the case with fire, the horizontal wind converging is clearly obtained at the center of the fire. Also, the vertical circulation of wind flow caused by the fire plume is well observed over the city.
Journal of Wind Engineering and Industrial Aerodynamics, 1999
Journal of Wind Engineering and Industrial Aerodynamics, 1997
IEEE Transactions on Consumer Electronics, 2010
This paper presents a feature point tracking algorithm using optical flow under the non-prior tra... more This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects, and provides real-time, robust tracking. The proposed object tracking procedure can be divided into two steps: (i) optical flow-based tracking of feature points and (ii) NPT-AFM for robust tracking. In order to handle occlusion problems in object tracking, feature points inside an object are estimated instead of its shape boundary of the conventional active contour model (ACM) or active shape model (ASM), and are updated as an element of the training set for the AFM. The proposed NPT-AFM framework enables the tracking of occluded objects in complicated background. Experimental results show that the proposed NPT-AFM-based algorithm can track deformable objects in real-time.
This paper presents a feature fusion-based tracking algorithm using optical flow under the non-pr... more This paper presents a feature fusion-based tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed object tracking procedure can be divided into three steps: (i) localization of human objects, (ii) prediction and correction of the object’s location by utilizing spatio-temporal information, and (iii) restoration of occlusion using the NPT-AFM[15]. Feature points inside an ellipsoidal shape including objects are estimated instead of its shape boundary, and are updated as an element of the training set for the AFM. Although the proposed algorithm uses the greatly reduced number of feature points, the proposed feature fusion-based multiple people tracking algorithm enables the tracking of occluded people in complicated background.
IEEE Transactions on Consumer Electronics, 2009
Optical Engineering, 2010
ABSTRACT A multiple color-filter aperture (MCA) can provide a single camera with depth informatio... more ABSTRACT A multiple color-filter aperture (MCA) can provide a single camera with depth information and multifocusing. However, the original version of the MCA system exhibits inherent limitations such as manual, empirical tuning parameters for the color channel registration and fusion (CRF) process. Furthermore, a CRF output image still contains undesired out-of-focus blur because of the finite-sized apertures and the lateral displacement of each color-filter aperture, which results in low exposure, color mixing, deviation of color convergence, and divergence of light rays. For overcoming these problems, we present a real-time image processing solution for digital multifocusing in a MCA system.
Diabetes Research and Clinical Practice, 2000
Diabetes Research and Clinical Practice, 2000
Journal of Wind Engineering and Industrial Aerodynamics, 1999
Wind velocity and temperature fields over Kobe city which experienced a large-scale fire are nume... more Wind velocity and temperature fields over Kobe city which experienced a large-scale fire are numerically simulated by using CFD (Computational Fluid Dynamics) technique based on a turbulence model. Two cases of numerical simulations are studied for a typical meteorological condition of winter; one is with fire and the other is without fire. The result shows that the characteristics of wind velocity field over Kobe city are well predicted in both cases. In the case with fire, the horizontal wind converging is clearly obtained at the center of the fire. Also, the vertical circulation of wind flow caused by the fire plume is well observed over the city.
Journal of Wind Engineering and Industrial Aerodynamics, 1999
Journal of Wind Engineering and Industrial Aerodynamics, 1997
IEEE Transactions on Consumer Electronics, 2010
This paper presents a feature point tracking algorithm using optical flow under the non-prior tra... more This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects, and provides real-time, robust tracking. The proposed object tracking procedure can be divided into two steps: (i) optical flow-based tracking of feature points and (ii) NPT-AFM for robust tracking. In order to handle occlusion problems in object tracking, feature points inside an object are estimated instead of its shape boundary of the conventional active contour model (ACM) or active shape model (ASM), and are updated as an element of the training set for the AFM. The proposed NPT-AFM framework enables the tracking of occluded objects in complicated background. Experimental results show that the proposed NPT-AFM-based algorithm can track deformable objects in real-time.
This paper presents a feature fusion-based tracking algorithm using optical flow under the non-pr... more This paper presents a feature fusion-based tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed object tracking procedure can be divided into three steps: (i) localization of human objects, (ii) prediction and correction of the object’s location by utilizing spatio-temporal information, and (iii) restoration of occlusion using the NPT-AFM[15]. Feature points inside an ellipsoidal shape including objects are estimated instead of its shape boundary, and are updated as an element of the training set for the AFM. Although the proposed algorithm uses the greatly reduced number of feature points, the proposed feature fusion-based multiple people tracking algorithm enables the tracking of occluded people in complicated background.
IEEE Transactions on Consumer Electronics, 2009
Optical Engineering, 2010
ABSTRACT A multiple color-filter aperture (MCA) can provide a single camera with depth informatio... more ABSTRACT A multiple color-filter aperture (MCA) can provide a single camera with depth information and multifocusing. However, the original version of the MCA system exhibits inherent limitations such as manual, empirical tuning parameters for the color channel registration and fusion (CRF) process. Furthermore, a CRF output image still contains undesired out-of-focus blur because of the finite-sized apertures and the lateral displacement of each color-filter aperture, which results in low exposure, color mixing, deviation of color convergence, and divergence of light rays. For overcoming these problems, we present a real-time image processing solution for digital multifocusing in a MCA system.