• 한국산업정보학회논문지
• /
• 제16권3호
• /
• pp.1-10
• /
• 2011

본 논문에서는 의료 서비스로봇을 위한 얼굴추출 방법을 제안한다. 제안된 방법은 기존의 얼굴 추출방법의 단점을 보완하여 배경과 조명에 강건한 방법이다. 본 방법은 먼저 평균 이동 알고리즘을 이용하여 배경을 제거하고, 컬러 공간에서 얼굴을 추출한 후 외형 기반의 Haar-like feature 방식으로 최종 얼굴을 검출하게 된다. 제안된 시스템의 효율을 위해 실험을 하였고, 실험결과가 제안된 방법이 의료서비스 로봇에 적용 가능함을 보였다.

• 디지털산업정보학회논문지
• /
• 제9권2호
• /
• pp.17-22
• /
• 2013

In this paper, we propose a concrete crack detection method using shape properties. It is based on morphology algorithm and crack features. We assume that an input image is contaminated by various noises. Thus, we use a morphology operator and extract patterns of crack. It segments cracks and background using opening and closing operations. Morphology based segmentation is better than existing integration methods using subtraction in detecting a crack it has small width. Also, it is robust to noisy environment. The proposed algorithm classifies the segmented image into crack and background using shape properties of crack. This method calculates values of properties such as the number of pixels and the maximum length of the segmented region. Also, pixel counts of clusters are considered. We decide whether the segmented region belongs to cracks according to those data. Experimental results show that our proposed crack detection method has better results than those by existing detection methods.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제10권3호
• /
• pp.1377-1389
• /
• 2016

This paper presents a target model update scheme for the mean-shift tracking with background weighted histogram. In the scheme, the target candidate histogram is corrected by considering the back-projection weight of each pixel in the kernel after the best target candidate in the current frame image is chosen. In each frame, the target model is updated by the weighted average of the current target model and the corrected target candidate. We compared our target model update scheme with the previous ones by applying several test sequences. The experimental results showed that the object tracking accuracy was greatly improved by using the proposed scheme.

• International Journal of Contents
• /
• 제8권4호
• /
• pp.95-102
• /
• 2012

In this paper, we present a technique to extract the title areas from book cover images. A typical book cover image may contain text, pictures, diagrams as well as complex and irregular background. In addition, the high variability of character features such as thickness, font, position, background and tilt of the text also makes the text extraction task more complicated. Therefore, we propose a two steps efficient method that uses Histogram of Oriented Gradients and color information to find the title areas. Firstly, text localization is carried out to find the title candidates. Finally, refinement process is performed to find the sufficient components of title areas. To obtain the best result, we also use other constraints about the size, ratio between the length and width of the title. We achieve encouraging results of extracted title regions from book cover images which prove the advantages and efficiency of the proposed method.

• 한국멀티미디어학회논문지
• /
• 제14권8호
• /
• pp.992-999
• /
• 2011

This paper proposed a human body posture recognition program based on haar-like feature and hand activity detection. Its distinguishing features are the combination of face detection and motion detection. Firstly, the program uses the haar-like feature face detection to receive the location of human face. The haar-like feature is provided with the advantages of speed. It means the less amount of calculation the haar-like feature can exclude a large number of interference, and it can discriminate human face more accurately, and achieve the face position. Then the program uses the frame subtraction to achieve the position of human body motion. This method is provided with good performance of the motion detection. Afterwards, the program recognises the human body motion by calculating the relationship of the face position with the position of human body motion contour. By the test, we know that the recognition rate of this algorithm is more than 92%. The results show that, this algorithm can achieve the result quickly, and guarantee the exactitude of the result.

• 한국통신학회논문지
• /
• 제21권8호
• /
• pp.1874-1884
• /
• 1996

In this paper, we proposed automatic searching algorithm of thresholding value using multilevel thresholding for face segmentation from input bust image effectively. The proposed algorithm extracted the thresholding value of brightness that is formed background region, face region and hair region without illumination, background and face size from input image. The statistical projection analysis project the brightness of multilevel thresholding image into horizontal and vertical direction and decide the thresholding value of face. And the algorithm extracted elliptical type block of face from input image in order to reduce the back ground region and hair region efficiently. The proposed algorithm can reduce searching area of feature extraction and processing time for face recognication.

• Journal of Information Processing Systems
• /
• 제11권1호
• /
• pp.22-38
• /
• 2015

While Modern Standard Arabic is the formal spoken and written language of the Arab world; dialects are the major communication mode for everyday life. Therefore, identifying a speaker's dialect is critical in the Arabic-speaking world for speech processing tasks, such as automatic speech recognition or identification. In this paper, we examine two approaches that reduce the Universal Background Model (UBM) in the automatic dialect identification system across the five following Arabic Maghreb dialects: Moroccan, Tunisian, and 3 dialects of the western (Oranian), central (Algiersian), and eastern (Constantinian) regions of Algeria. We applied our approaches to the Maghreb dialect detection domain that contains a collection of 10-second utterances and we compared the performance precision gained against the dialect samples from a baseline GMM-UBM system and the ones from our own improved GMM-UBM system that uses a Reduced UBM algorithm. Our experiments show that our approaches significantly improve identification performance over purely acoustic features with an identification rate of 80.49%.

• 한국정보과학회:학술대회논문집
• /
• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(D)
• /
• pp.226-230
• /
• 2010

본 논문은 차세대 이동형 시스템인 웨어러블 컴퓨팅을 지원하는 무선 스마트 단말의 전송 채널 및 저장 용량 등의 제약에 따른 무선 단말 대 무선 단말의 데이터 전송한계를 극복하기 위한 새로운 전송방법 및 시스템을 제안한다. 무선 인터넷상에서 무선 단말의 전송 및 저장 능력의 한계는 무선 웨어러블 컴퓨팅 정보 서비스 발전을 가로막고 있다. 본 연구는 이러한 웨어러블 단말들 사이의 데이터 전송 및 저장 능력 문제점을 극복하기 위한 대안을 제시하기 위해서 실시간 백그라운드 전송 방법(Real-time Background Transfer Method)을 제안한다.

• 한국문헌정보학회지
• /
• 제37권1호
• /
• pp.127-149
• /
• 2003

이 연구는 먼저, 우리나라의 국립중앙도서관 격인 북한의 인민대학습당과 그동안 밝혀지지 않았던 지방의 인민학습당, 남한의 학교(학생)도서관과 공공(성인)도서관을 결합한 형태의 북한의 군중도서관, 그리고 대학도서관의 기본 설계형태와 외형 및 구조상의 특징을 살펴보고, 다음 설립배경 등 관련문헌 분석을 통하여 현재의 건축의 외형과 설계를 갖게된 역사적 배경과, 큰 틀에서의 우리나라 도서관과의 차이점을 살펴보았다.

• 한국통신학회논문지
• /
• 제25권10B호
• /
• pp.1821-1831
• /
• 2000

본 논문에서는 스테레오 물체추적 시스템의 새로운 접근 방법으로 영역기반의 정합인 SAD를 사용하여 복잡한 배경 및 전경에서 추적 물체를 인식하여 추출하고, 광 BPEJTC를 사용하여 주시각 및 카메라의 팬/틸트를 제어하는 실시간 스테레오 물체추적 시스템을 제안하였다. 본 논문에서 제안한 스테레오 물체 추적 시스템은 복잡한 배경 및 주위환경 변화에서도 추적 물체를 정확히 추출하여 적응적으로 스테레오 물체 추적이 가능함을 실험을 통해 확인하였으며, 광학적으로 구성함으로써 스테레오 자동 물체 추적기의 실시간적 구현 가능성을 제시하였다.