研究者詳細 - 神谷　亨

論文 - 神谷　亨

分割表示751 件中 461 - 480 件目／全件表示 >>

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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Classification of lung nodules on temporal subtraction image based on statistical features and improvement of segmentation accuracy 査読有り

Miyajima T., Tokisa T., Maeda S., Kim H., Tan J., Ishikawa S., Murakami S., Murakami S., Aoki T.

International Conference on Control, Automation and Systems 1814 - 1817 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, thorax MDCT images are used in visual screening for early detection of lung nodules. Radiologists can easily detect lung nodules on images, but it has enormous images and load of radiologist for visual screening. To reduce the load of radiologist and improve the detection accuracy, a CAD (Computer Aided Diagnosis) system is expected from medical fields. In the medical image processing fields, some related works are reported to develop the CAD system including temporal subtraction technique as helpful technical issues. In this paper, we propose a classification of lung nodules on temporal subtraction image based on image processing technique. At first, the candidate regions including nodules are detected by the multiple threshold technique in terms of the pixel value on the temporal subtraction images. Then, we remove vessel regions on nodules by the most suitable threshold technique and watershed method. Also we remove the false positives which are caused by mis-registration using selective enhancement filter, rule-base method and artificial neural networks. In this paper, we illustrate some experimental result which applied our algorithm to 31 chest MDCT cases including lung nodules. © 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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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 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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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 method for cardiac region segmentation on ultrasound images based on particle filter algorithm 査読有り

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

Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2012, CGVCVIP 2012, Part of the IADIS MCCSIS 2012 157 - 162 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 presents a contour segmentation of cardiac region on ultrasound images viewed as a tracking framework. We develop a tracking model for contour segmentation and estimate the image contour using particle filter algorithm. The tracking model is initialized by projecting equip spaced radii from center point of the contour to the tracking boundary. The motion of each particle on the radii is governed by a system model. The samples likelihood is measured based on the gradient intensity or edge of the contour. Then the estimated contour is measured based on the mean estimate of the samples likelihood. Our proposed method is implemented to the ultrasound images of a cardiac and the satisfactory results are achieved. © 2012 IADIS.

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Japanese finger-spelling recognition using a chest-mounted camera 査読有り

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

Proceedings of the SICE Annual Conference 909 - 912 2012年11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 for recognizing Japanese finger-spelling using a sign language user's chest-mounted camera. Unlike existent systems, the technique employs a chest-mounted camera attached to a sign language user himself/herself and recognizes his/her sign language through the captured images of Japanese finger-spelling. We use a hand area picture of his/her hand and the MHIs (Motion History Images) for the Japanese finger-spelling recognition. For the recognition method, we employ the ICA (Independent Component Analysis). Furthermore, in order to recognize the Japanese finger-spelling from an animation (an image sequence), a character segmentation technique is also proposed. The performance of the proposed system is shown experimentally. © 2012 SICE.

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Human motion recognition employing infrared radiation camera images 査読有り

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

Proceedings of the SICE Annual Conference 392 - 395 2012年11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 method of motion recognition in real night environment employing an infrared radiation camera. We record a video employing an infrared radiation camera to perform motion recognition at night. We use Directional Motion History Images (DMHIs) and Directional Motion Energy Images (DMEIs) for human motion representation. For the recognition of the motions, we employ the eigenspace method. In the experiment, it was confirmed that the human motion recognition at night is possible. © 2012 SICE.

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Arterial hemodynamic analysis on non-enhanced magnetic resonance angiogram using optical flow 査読有り

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

Artificial Life and Robotics 17 ( 1 ) 102 - 106 2012年10月

記述言語：英語掲載種別：研究論文（学術雑誌）

© ISAROB 2012. Peripheral arterial disease (PAD) is one of the reasons caused to the lower extremity atherosclerotic disease. Its diagnosis is needed to obtain much kind of the information of vascular morphology as well as the blood flow information based on hemodynamics. The diagnosis of the PAD using magnetic resonance imaging (MRI) equipment without contrast medium is available as a useful visual screening in clinical practice. In this paper, we propose a novel method for visualizing hemodynamics to arterial images obtained by a non-contrast enhanced magnetic resonance angiography (MRA) based on the Lucas–Kanade optical flow with the image pyramid processing, and satisfied experimental results are obtained.

DOI： 10.1007/s10015-012-0022-8

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Motion history image: its variants and applications 査読有り

Ahad, Tan, Kim, Ishikawa

Machine Vision and Applications 23 255 - 281 2012年03月

経時的差分像技術を用いた胸部CT画像からの結節状候補陰影領域の自動抽出

時佐、三宅、前田、金、タン、石川、村上、青木

第4回呼吸機能イメージング研究会学術集会 77 2012年02月

An effective directional motion database organization for human motion recognition 査読有り

Eftakhar, Tan, Kim, Ishikawa

Intl. Journal of Innovative Computing, Information and Control 8 ( 2 ) 1359 - 1370 2012年02月

An effective directional motion database organization for human motion recognition 査読有り

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

International Journal of Innovative Computing, Information and Control 8 ( 2 ) 1359 - 1370 2012年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

Automatic recognition of human motions has an increasing demand in the recent visionary world. However, with the registration of large number of motions from varying viewpoints, the necessity for an effective motion database for recognition has become a vital issue. In the context of motion database development, this paper proposes a directional database organization for human motion recognition. This organization partitions the motion database into several sub-databases on the basis of camera orientation. Separate feature spaces are constructed, and correspondingly directional sub-databases are built, leading to the constitution of the complete motion database. The directionally similar but semantically different motions are properly distinguished. To show the ro-bustness of the proposed organization for recognizing human motions, a set of motions captured from varying viewpoints is analyzed. An eigenspace representation is employed as a generic feature space that sufficiently characterizes the motion features. Motion History Image (MHI) and Exclusive-OR (XOR) image representations are used as motion templates where MHI is found performing better than XOR image. The experimental re-sults show high-level of satisfactory performance and claim the significant improvement over earlier developed systems. © 2012 ICIC International.

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Japanese Finger-spelling Recognition Using a Chest-mounted Camera 査読有り

Nagasue, Tan, Kim, Ishikawa

The 17th International Symposium on Artificial Life and Robotics 1059 - 1062 2012年01月

Moving objects detection at an intersection by sequential background extraction 査読有り

Sonoda S., Tan J., Kim H., Ishikawa S., Morie T.

International Conference on Control, Automation and Systems 1752 - 1755 2011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, there are many traffic accidents in turning right at an intersection. They are mainly caused by a driver's oversight of pedestrians and motorcycles that are occluded by oncoming cars. Therefore a system is necessary to detect moving objects such as oncoming cars and pedestrians at an intersection, and warn a vehicle driver. This paper describes a technique for detecting moving objects in turning right at an intersection when vehicle is stopping. Moving objects are detected by Mixture of Gaussians (MoG). In addition, we distinguish cars from pedestrians using the difference of the area size and the aspect ratio of detected objects. The object which is classified as a pedestrian is tracked using Lucas-Kanade Tracker. If the detected cars and pedestrians overlap or a car completely obscures pedestrians, we perform the estimation of pedestrian's location by using the information on past frames. By doing this, it is possible to detect pedestrians that drivers are actually difficult to see. The performance of the proposed technique was examined employing car videos and satisfactory results were obtained. © 2011 ICROS.

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Extraction of individual pedestrians employing stereo camera images 査読有り

Kawabe M., Tan J., Kim H., Ishikawa S., Morie T.

International Conference on Control, Automation and Systems 1744 - 1747 2011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 traffic accident occurs mainly because of carelessness of a driver. To prevent such an accident, many systems which detect pedestrians from vehicle are proposed. But most of these systems give a warning to a driver every time when a pedestrian is detected. The effect of warning becomes lower if the frequency of warning increases in a busy area. The objective of this study is to develop a technique for detecting pedestrians from a vehicle and to arrange them according to their potential risks by analyzing their behaviors. In this paper, we propose a technique for segmenting pedestrians employing stereo camera images to analyze a pedestrian's behavior. First, foreground regions are extracted employing background estimation using the mixture of Gaussian model. After extracting foreground regions in an input image, these regions are segmented by using the distance information. By using this method, each shape of the detected pedestrians can be obtained even when pedestrians are overlapping with each other. The proposed technique was examined experimentally employing real video images and satisfactory results were obtained. © 2011 ICROS.

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Direction-oriented human motion recognition with prior estimation of directions 査読有り

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

IECON Proceedings (Industrial Electronics Conference) 4226 - 4231 2011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）

As the facilities are becoming available with the advent of the state-of-art technologies, the necessity of man-machine interaction systems is growing day-by-day. Within various applications of such a system, one of the most promising applications in the field of computer vision is the understanding and the interpretation of human motion or behavior in a scene. Direction-oriented motion capture of a person performing some tasks is an important issue in developing a human motion recognition system, since an intelligent system should also be incorporated with the directional information. We propose a direction-oriented motion recognition approach that makes use of the directional information by prior estimation. This reduces the processing time of the system by excluding unnecessary searching for the most similar motions. In this approach, direction-wise motions are clustered within the feature space in order to make the direction estimation easier. Each motion is converted to individual template, namely Motion History Image (MHI) and Exclusive-OR (XOR) Image, by extracting distinguishable features from the video-clips containing the motions. A Structured Motion Database (SMoDB) is developed to match an unlabeled motion against the pre-stored motions. Experiments are conducted on an Avatar dataset and significant improvements in the results are noticed. © 2011 IEEE.

DOI： 10.1109/IECON.2011.6120002

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Detection of pedestrians employing a wide-angel camera 査読有り

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

International Conference on Control, Automation and Systems 1748 - 1751 2011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 number of accidents that pedestrians have law violation is in the tendency of decrease in Japan. However, accidents caused by pedestrians crossing a crosswalk or dashing into a crosswalk still have high ratio, and both accident sources account for 15% of the whole number of accidents caused by a pedestrian. Although many researches in ITS in which pedestrians are detected from in-vehicle cameras have been actively done to solve these problems, they usually employ standard cameras, and those pedestrians who exist outside of the camera view cannot be detected. In this paper, we employ a wide-angle camera which has wider view than a general camera and propose a technique for detecting pedestrians from the wide-angle image. Since, in a wide-angle camera image, every object becomes smaller, we propose a technique for detecting pedestrians employing optical flows converging to a FOE (Focus of Expansion). Experimental results show satisfactory performance of the technique. © 2011 ICROS.

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Detection of a bicycle and its driving directions using HOG feature 査読有り

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

Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 781 - 784 2011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）

Studies on car vision have currently been practiced around recognizing a human enthusiastically. The Histograms of Oriented Gradients (HOG) feature has been proposed as useful feature for recognizing a human standing in various kinds of background. On the other hand, although a bicycle is important transportation vehicle in urban environment, its automatic recognition or detection is not an easy task for a computer vision system, because bicycle's appearance can change dramatically according to viewpoints and a person riding on the bicycle is a non-rigid object. Thus, automatic bicycle detection is an important research subject in an intelligent perception system using car vision. In this paper, we propose a method of detecting a bicycle and its driving direction using the HOG feature and RealAdaboost algorithm. Experimental results show satisfactory performance of the proposed method. © 2011 ISAROB.

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