研究者詳細 - 丹上　結乃純

論文 - 丹上　結乃純

分割表示601 件中 221 - 240 件目／全件表示 >>

A global-local approach to saliency detection 査読有り

Boudissa, A., Tan, J.K., Kim, H., Ishikawa, S., Shinomiya T., Mikolajczyk, K.

Computer Analysis of Images and Patterns Lecture Notes in Computer Science: Proc. of Int. Conf. on Computer Analysis of Images and Patterns (CAIP 2013) 332 - 337 Computer Analysis of Images and Patterns Lecture Notes in Computer Science(Springer) Volume8048 2013年08月

A novel saliency measure using combined spatial redundancy and local appearance 査読有り

Boudissa A., Tan J. K., Kim H., Ishikawa S.,Shinomiya, T

Proc. of IAPR Int. Conf. on Machine Vision Applications (MVA2013) 395 - 398 2013年05月

3D organic shape correspondence using spherical conformal mapping 査読有り

Li G., Kim H., Tan J., Ishikawa S.

IFMBE Proceedings 39 IFMBE 943 - 946 2013年04月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Points Distribution Model (PDM) has been established as one of the robust tool for medical image segmentation and shape analysis. A main challenge to apply PDM is model correspondence across a set of training samples primarily. In this study, we propose a direct correspondence method based on spherical conformal mapping theory. Firstly, map the genus zero surface to a spherical domain. Constrain a group of Möbius transformations by three selected datum points on surface. In this way, the attitudes of all training samples are corresponded. Then place the landmarks across the whole training set automatically according to the reference model. To require the statistic data, the distribution of landmarks should be accounted in a uniform framework. We align these three datum points using an analytic method. Our proposed method was performed on the correspondence of 4 cases of left lung training samples. Compared with the manual correspondence results, the mean error of Euclidean distance for each landmark was 12mm. © 2013 Springer-Verlag.

DOI： 10.1007/978-3-642-29305-4_247

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Abnormal motion detection in an occlusive environment 査読有り

Mudjirahardjo P., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 1398 - 1402 2013年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

We present a motion classification approach to detect movements of interest (abnormal motion) based on optical flow. By tracking all feature points of a moving human in successive frames, we calculate the coordinate space and create feature space. This is done directly from the intensity information without explicitly computing the underlying motions. It requires no foreground segmentation, no prior learning of activities, no motion recognition and no object detection. First, we determine the abnormal scene and speed by using the velocity histogram. Then by using k-means clustering over velocity orientation and magnitude, we determine the abnormal direction. The performance of the proposed method is experimentally shown.

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Automatic classification of seabed sediments based on HLAC 査読有り

Tan Y., Tan J., Kim H., Ishikawa S.

2013 IEEE/SICE International Symposium on System Integration, SII 2013 653 - 658 2013年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Understanding the distribution of seafloor sediment using a side-scan sonar is very important to grasp the distribution of seabed resources. This task is traditionally carried out by a skilled human operator. However, with the appearance of Autonomous Underwater Vehicles, automated processing is now needed to tackle the large amount of data produced and to enable on the fly adaptation of the missions and near real time update of the operator. We propose in this paper a method that applies a subspace method and higher-order local auto-correlation feature to the acoustic image provided by the side-scan sonar to classify seabed sediment automatically. In texture classification, the proposed method outperformed other methods such as gray level co-occurrence matrix and Local Binary Pattern operator. Experimental results show that the proposed method produces a consistent map of a seafloor. © 2013 IEEE.

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Recognizing human actions using histogram of local binary patterns 査読有り

Ahsan S., Tan J., Kim H., Ishikawa S.

2013 IEEE/SICE International Symposium on System Integration, SII 2013 54 - 59 2013年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Human action recognition from video clips has become an active research field in recent years. Each action has its unique shape and a motion sequence can be suitably represented by a histogram. In this paper a histogram based action recognition method is presented. Motion history images are a good spatiotemporal template for action representation. In the present method, we use local binary patterns of directional motion history images for the histogram representation. We measured the performance of the proposed method along with some variants of it by employing KTH action dataset and found higher accuracy. The presented results also justify the superiority of the proposed method compared to other approaches for action recognition found in literature. © 2013 IEEE.

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Development of a scaler stroke display system using computer vision 査読有り

Kuroiwa M., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 1722 - 1723 2013年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper describes a dental trainings imulation sys tem with a jaw mode l using a computer vis ion technique for scaling and root planing (SRP) . The SRP is a cornerstone of treatment of periodontal diseases. We have difficulty in watching the movement of the working end of a scaler in a mouth. We propose a method of recovering the movement of the scaler employing a marker attached to the scaler. The performance of the proposed method is shown experimentally.

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Detection of underwater objects based on machine learning 査読有り

Tan Y., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 2104 - 2109 2013年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Side-scan and forward-looking sonars are some of the most widely used imaging systems for obtaining large scale images of the seafloor, and their use continues to expand rapidly with their increased deployment on autonomous underwater vehicles. However, it is difficult to extract quantitative information from the images generated from these processes, particularly for the detection and extraction of information on the objects within these images. We propose in this paper an algorithm for automatic detection of underwater objects in side-scan images based on machine learning employing adaptive boosting. Experimental results show that the method produces consistent maps of the seafloor.

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Detecting foreground objects by sequential background inference in a video captured by a moving camera 査読有り

Setyawan F., Tan J., Kim H., Ishikawa S.

Proceedings of the SICE Annual Conference 1699 - 1702 2013年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper proposes a technique to separate foreground objects from the background in a video taken with a moving camera. In this technique, the first image frame is considered as the first background. The next image frame is an image containing foreground objects. The next image frame is conditioned to have the same position with the first background. Adjustment of the position between the two image frames is done by determining the image features of the two images using Harris corner detector method. After image features have been obtained, feature point correspondence between the first background image and a subsequent image is searched for using Lucas-Kanade tracker. Outlier pairs are discarded by RANSAC. By the employment of a set of feature point pairs, the 2D projective transform is computed between the two images. Furthermore it is determined whether a pixel is included in the foreground or the background. Experimental results show satisfactory performance of the proposed method.

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Classifying 2D and 3D objects on a road employing the road plane 査読有り

Qian S., Tan J., Kim H., Ishikawa S., Morie T., Shinomiya T.

Proceedings of the SICE Annual Conference 1689 - 1692 2013年01月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Obstacles detection is an important technology in autonomous collision avoidance systems. We have already proposed an obstacle detection method based on background modeling. But this method detects 2D and 3D objects simultaneously. Since these 2D objects are not dangerous to driving, they will reduce the accuracy of detection if they are detected as obstacles. In order not to detect these 2D objects, this paper proposes a method for classifying 2D objects and 3D objects. The proposed method first estimates the camera motion parameters from the correspondences of feature points between two successive images. We calculate the 3D positions of the feature points on a detected object in the world coordinate system using triangulation. Then we estimate the parameters of the road plane using 3D positions of those feature points. Finally we calculate the distances from the 3D positions of the feature points to the road plane. Based on these distances, we can classify 2D objects and 3D objects. Experimental results show satisfactory performance of the proposed method.

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A parameterization based correspondence method for PDM building 査読有り

Li G., Kim H., Tan J., Ishikawa S.

Journal of Advanced Computational Intelligence and Intelligent Informatics 17 ( 1 ) 18 - 26 2013年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

Place-march of corresponding landmarks is one of the major factors influencing 3D Points Distribution Model (PDM) quality. In this study, we propose a semi-automatic correspondence method based on surface parameterization theory. All the training sets are mapped into a spherical domain previously. The rotation transformation of training samples is regarded as spherical rotation of their maps. We solve it by comparing the density distribution of surface map of training sample with respect to the reference model. Simultaneously, the corresponding landmarks across the whole training set are marketed depending on the spherical coordinates on parameter domain. In this paper, we also compared the corresponding results with two constraint conditions of spherical conformal mapping: 3 datum points constrain and zero-mass constrain. Experimental results are given for left lung training sets of 3D shapes. The mean result with the 3 datum points constraint and the zero mass-center constraint was 21.65 mm and 20.19 mm respectively.

DOI： 10.20965/jaciii.2013.p0018

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Detection of artery regions in lower extremity arteries from non-enhanced MR imaging based on particle filter algorithms 査読有り

Koga Y., Yamamoto A., Kim H., Tan J., Ishikawa S.

Journal of Advanced Computational Intelligence and Intelligent Informatics 17 ( 2 ) 318 - 323 2013年01月

記述言語：英語掲載種別：研究論文（学術雑誌）

Recently, the arteries sclerosis obliterans (ASO) or called peripheral arterial disease (PAD) typically caused by chronic ischemia of limbs increases remarkably. As one of the diagnosis methods, the image diagnosis methods such as MR image are applied in medical fields. In this paper, we propose a vascular extraction method using fresh blood imaging (FBI) method, as well as apply it to computer aided diagnosis (CAD) system. Especially, to prevent the spread outside of the region and improve the segment accuracy of peripheral artery areas, we introduce particle filter algorithms. We performed our method on automatic artery regions detection using non-enhanced MR images. Furthermore, we compared the extracted results to gold standard data and analyzed accuracy by receiver operating characteristic (ROC). The effectiveness of our proposed method and satisfactory of its detected accuracy were confirmed.

DOI： 10.20965/jaciii.2013.p0318

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3-D recovery of a non-rigid object from a single camera view by piecewise recovery and synthesis 査読有り

Ishikawa S., Tan J., Kim H., Ishikawa S.

Proceedings - International Conference on Pattern Recognition 1443 - 1446 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

This paper proposes a novel technique for 3-D recovery of a non-rigid object, such as a human in motion, from a single camera view. To achieve the 3-D recovery, the proposed technique performs segmentation of an object under deformation into respective parts which are regarded as rigid. For high accuracy segmentation, multi-stage learning and local subspace affinity are employed in this stage. Each part recovers its 3-D shape by applying the factorization method to it. This is the initial solution. The shape of each part is then refined by applying a quadratic model to the initial solution. The entire 3-D recovery of the object is finally performed using the common points among the segmented parts. The experiments employing a synthetic non-rigid object and real human motion data show effectiveness of the proposed technique. © 2012 ICPR Org Committee.

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A camera-computer system to support safe walking of a blind person 査読有り

Kanayama A., Tan J., Kim H., Ishikawa S.

International Conference on Control, Automation and Systems 511 - 513 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

It is necessary for a blind person to know the locations of the pedestrians or moving objects around him/her on a walk road for his/her safe walking. This paper proposes a system for detecting pedestrians or moving objects in front of a person on a walk road by a camera mounted on his/her body. The system judges if a moving object in front of the person is going to hit him/her in the near future by analyzing the motion vectors acquired on the camera images. In case there is a fear of hit, the system tells it to the person by sound. In this way, the proposed system helps safe walking of a blind person. Some experimental results are shown with discussion. © 2012 ICROS.

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Applying MSC-HOG feature to the detection of a human on a bicycle 査読有り

Jung H., Ehara Y., Tan J., Kim H., Ishikawa S.

International Conference on Control, Automation and Systems 514 - 517 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Traffic accidents are decreasing under the influence of technology advancement. But the problems still remain that accidents occur due to carelessness of drivers. Therefore many researchers have been still studying to realize an advanced safety system. The Histograms of Oriented Gradients (HOG) feature is well known as a useful method of detecting a standing human in various kinds of the background. Unlike a human, a bicycle changes its appearance variously according to viewpoints. Hence, it is more difficult than detecting a human. In this paper, we propose a method of detecting a human on a bicycle using the Multiple-size Cell HOG (MSC-HOG) feature and the RealAdaboost algorithm. Experimental results and evaluation show satisfactory performance of the proposed method. © 2012 ICROS.

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Temporal subtraction method for abdominal contrast and non-contrast image based on image matching techniques 査読有り

Minashima M., Ogihara S., Kim H., Tan J., Ishikawa S., Murakami S., Aoki T.

International Conference on Control, Automation and Systems 1805 - 1808 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Recently, the death rate due to the liver cancer rises remarkably. To reduce the rate, the early detection of the disease is important. To detect diseases in early stage which are concern cancer, image diagnosis such as CT image is used in medical fields. On the other hand, the burden to a radiologist becomes increase. Therefore, the development of a system reducing the burden of the radiologist is important. In order to diagnose abnormalities based on medical imaging there are some reports. But, there is no report which is concern with detecting abnormality on liver disease based on temporal subtraction technique for abdominal CT image. As one of the methods to analyze abnormalities on visual screening, temporal subtraction technique is useful. This technique subtracts past image to current one. To obtain the good performance based temporal subtraction technique, image registration is most important task. In this paper, we propose a registration method for liver CT image using voxel matching techniques. We describe our registration method from two CT image which obtained deference time series and shows experimental results with discussion. © 2012 ICROS.

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Surface orientation driven 3D rigid registration method 査読有り

Li G., Kim H., Tan J., Ishikawa S.

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics 1418 - 1421 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

In this paper, we propose a new surface-based method to solve the rotation transformation of 3D rigid registration. Different from the criterion that minimize the sum of the squares of the errors between the corresponding parts of objects, here we estimate the spatial modalities of objects by their orientations. In details, Gauss map of surface is introduced to measure the distribution of surface curvature. To depict the characters of surface, we add sign weights to Gauss sphere according to the local total curvature. The stereographic projection is utilized to transform the spherical statistics to bifacial plane. As well, an optimization solution is done by iterated algorithm. We applied our proposed method on lung triangular surface registration. The experiments were completed by mutual information of block statistic. © 2012 IEEE.

DOI： 10.1109/ICSMC.2012.6377933

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Detection of bone regions on legs from CTA image using concentration gradients 査読有り

Wada K., Yamamoto A., Kim H., Tan J., Ishikawa S.

International Conference on Control, Automation and Systems 1818 - 1821 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Recently, radiologists can easily screening with high accuracy based on CTA (Computed Tomography Angiography) images and/or MRI (Magnetic Resonance Imaging) which is supported by medical imaging technology. On the other hand, visual screening makes burden to doctors which cause increasing the images and limited times. To avoid these problems, CAD (Computer Aided Diagnosis or Detection) system is developed by reducing the burdens and to improve the diagnostic accuracy. Problems of diagnosis on legs from CTA are burdens to doctors and detection of blood vessel by manual. In the field for visual screening, it is difficult task to detect blood vessel regions with high accuracy detection rates since blood vessel regions are in contact with bone region on the CTA images. In this paper, we propose a new method for segmentation of arterial area, which are obtained CTA based on image processing by concentration gradients, and satisfactory experimental results are obtained. Some experimental results are shown with discussion. © 2012 ICROS.

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A temporal subtraction method for thoracic CT images using non rigid warping technique 査読有り

Tokisa T., Kim H., Tan J., Ishikawa S., Moon Y., Yoon S., Kim W.

International Conference on Control, Automation and Systems 1809 - 1813 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

A temporal subtraction technique which is subtracted from previous image to current one is introduced as powerful tools in medical fields to diagnose abnormalities. It provided a computer aided diagnosis (CAD) tools on visual screening. Radiologist can detect lesions on image by compare the two images. It is because the subtraction image can enhance the temporal changes, such as shaped of new lesions and/or the temporal changes in existing abnormalities by removing most of the normal background structures by subtraction of a previous image from a current one. There are some technical reports to register the different images until now. But subtraction artifacts are still remained which are caused by mis-registration. In this paper, we propose a new method for temporal subtraction method on thoracic MDCT images using non-rigid image warping techniques based on free form deformation (FFD). We applied our method to two clinical cases of chest CT image sets and compare to conventional methods in terms of computational cost and accuracy. © 2012 ICROS.

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A surface mapping based alignment method for statistical shape model building 査読有り

Li G., Kim H., Tan J., Ishikawa S., Yamamoto A.

Proceedings of the 2012 7th IEEE Conference on Industrial Electronics and Applications, ICIEA 2012 803 - 806 2012年12月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

The fundamental step to get a Statistical Shape Model (SSM) is to align all the training samples to the same spatial modality. In this paper, we propose a new 3D alignment method using surface parameterization theory to solve the rotation transformation of 3D rigid registration. It is a feature based alignment method which matches two models depending on comparing the distribution of spherical conformal map of vertices. Moreover, the stereographic projection is utilized to transform the spherical statistics to bifacial plane. The optimal solution is obtained by an iterated algorithm. We tested the rigid registration of left lung training samples. The availability of our proposed method was confirmed. © 2012 IEEE.

DOI： 10.1109/ICIEA.2012.6360834

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