• Journal of KIISE:Software and Applications
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• v.36 no.10
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• pp.816-824
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• 2009

In the face space, face images due to illumination and pose variations have a nonlinear distribution. Active Appearance Models (AAM) based on the linear model have limits to the nonlinear distribution of face images. In this paper, we assume that a few clusters of face images are given; we build local AAMs according to the clusters of face images, and then select a proper AAM model during the fitting phase. To solve the problem of updating fitting parameters among the models due to the model changing, we propose to build in advance relationships among the clusters in the parameter space from the training images. In addition, we suggest a gradual model changing to reduce improper model selections due to serious fitting failures. In our experiment, we apply the proposed model to Yale Face Database B and compare it with the previous method. The proposed method demonstrated successful fitting results with strongly illuminated face images of deep shadows.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.3
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• pp.1224-1242
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• 2018

Aiming at motion analysis and compensation, it is essential to conduct motion detection with images. However, motion detection and tracking from low-altitude images obtained from an unmanned aerial system may pose many challenges due to degraded image quality caused by platform motion, image instability and illumination fluctuation. This research tackles these challenges by proposing a modified joint transform correlation algorithm which includes two preprocessing strategies. In spatial domain, a modified fuzzy edge detection method is proposed for preprocessing the input images. In frequency domain, to eliminate the disturbance of self-correlation items, the cross-correlation items are extracted from joint power spectrum output plane. The effectiveness and accuracy of the algorithm has been tested and evaluated by both simulation and real datasets in this research. The simulation experiments show that the proposed approach can derive satisfactory peaks of cross-correlation and achieve detection accuracy of displacement vectors with no more than 0.03pixel for image pairs with displacement smaller than 20pixels, when addition of image motion blurring in the range of 0~10pixel and 0.002variance of additive Gaussian noise. Moreover,this paper proposes quantitative analysis approach using tri-image pairs from real datasets and the experimental results show that detection accuracy can be achieved with sub-pixel level even if the sampling frequency can only attain 50 frames per second.

• Smart Media Journal
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• v.13 no.5
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• pp.19-25
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• 2024

The biggest type of behavior that prevents people with developmental disabilities from entering society is aggressive behavior. Aggressive behavior can pose a threat not only to the personal safety of the person with a developmental disability, but also to the physical safety of others. In this study, we propose a wearable system using a low-power processor. The proposed system uses an IMU (Inertial Measurement Unit) to analyze user behavior, and when attack behavior is not detected for a certain period of time through an LED array attached to the developed system, an interesting LED is displayed. By expressing patterns, we provide behavioral intervention through compensation to people with developmental disabilities. In order to implement a system that must be worn for a long time in a power-limited environment, we present a method to optimize performance and energy consumption across all stages, from data preprocessing to AI model application.

• Journal of Environmental Policy
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• v.8 no.2
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• pp.25-61
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• 2009

These days, environmental policies have changed from being command and control systems toward economic incentive systems, with various incentives having been established by OECD countries. In Korea, many environmental charges have been established in order to diminish activities which damage natural resources. Among them, the Ecosystem Conservation Cooperation Charge and the Replacement Charge for Forest Resources Creation are considered to be representative environmental charges. These charges, along with a few others, were designed to encourage efforts to protect natural resources. The charges include a number of different features, utilize varying methods, and altered ranges of jurisdiction. However, the charges may pose serious inequity problems in terms of their estimated values and their conditions of reduction and exemption. For instance, although the Ecosystem Conservation Cooperation Charge is a primary charge applied to natural resource damage, the charge does not fully secure its original objectives due to its low levy and limited range of provisions. Moreover, the Replacement Charge for Forest Resources Creation has been criticized because of similar reduction and exemption provisions. Therefore, this study analyzes the inequity problems associated with the charges and proposes solutions. First of all, the Ecosystem Conservation Cooperation Charge should be redesigned in such a way that it reflects the substantial value of natural resource damage through either abrogate or increased maximum limits of the charge. With regard to the Replacement Charge for Forest Resources Creation, the cases and ranges of reduction and exemption provisions should be narrowed. Finally, the charges collected should be expended in conformity with their original objectives, and their expenditure should be restricted to either restoration activities or activities directly related to compensation and mitigation of damaged natural resources.