Jong-An Park

Publications (33)0.45 Total impact

• Article: Estimation of moving information for tracking of moving objects

  Sung-Kwan Kang, Jong-An Park, Sang-Hwa Jeong
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  ABSTRACT: Tracking of moving objects within video streams is a complex and time-consuming process. Large number of moving objects increases the time for computation of tracking the moving objects. Because of large computations, there are real-time processing problems in tracking of moving objects. Also, the change of environment causes errors in estimation of tracking information. In this paper, we present a new method for tracking of moving objects using optical flow motion analysis. Optical flow represents an important family of visual information processing techniques in computer vision. Segmenting an optical flow field into coherent motion groups and estimating each underlying motion are very challenging tasks when the optical flow field is projected from a scene of several moving objects independently. The problem is further complicated if the optical flow data are noisy and partially incorrect. Optical flow estimation based on regulation method is an iterative method, which is very sensitive to the noisy data. So we used the Combinatorial Hough Transform (CHT) and Voting Accumulation for finding the optimal constraint lines. To decrease the operation time, we used logical operations. Optical flow vectors of moving objects are extracted, and the moving information of objects is computed from the extracted optical flow vectors. The simulation results on the noisy test images show that the proposed method finds better flow vectors and more correctly estimates the moving information of objects in the real time video streams. Key WordsObject Tracking-Optical Flow-Hough Transform-Voting
  Journal of Mechanical Science and Technology 04/2012; 15(3):300-308. · 0.45 Impact Factor
• Conference Proceeding: CBIR Based on Adaptive Segmentation of HSV Color Space.

  Youngeun An, Muhammad Riaz, Jong-An Park
  Proceedings of the 12th UKSim, International Conference on Computer Modelling and Simulation, Cambridge, UK, 24-26 March 2010; 01/2010
• Conference Proceeding: Feature Extraction Using Overlay Blocks and Maximal Eigenvalues for Image Retrieval.

  Hui Zhao, Jimin Lee, Minhyuk Chang, Jonghun Chun, Jong-An Park
  Proceedings of the 12th UKSim, International Conference on Computer Modelling and Simulation, Cambridge, UK, 24-26 March 2010; 01/2010
• Conference Proceeding: Extracting Color Using Adaptive Segmentation for Image Retrieval.

  Muhammad Riaz, PanKoo Kim, Jong-An Park
  Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, CSO 2009, Sanya, Hainan, China, 24-26 April 2009, Volume 1; 01/2009
• Conference Proceeding: Mobile vision robot using the SIFT algorithm for object recognition.

  Jin-Suk Kang, Joongnam Jeon, Youngeun An, Jong-An Park
  Proceedings of the International Conference on Ultra Modern Telecommunications, ICUMT 2009, 12-14 October 2009, St. Petersburg, Russia; 01/2009
• Conference Proceeding: Travel Ontology for Intelligent Recommendation System.

  Chang Choi, Miyoung Cho, Junho Choi, Myunggwon Hwang, Jong-An Park, PanKoo Kim
  AMS 2009, Third Asia International Conference on Modelling & Simulation, 25-29 May 2009, Bandung, Bali, Indonesia; 01/2009
• Conference Proceeding: Feature Vector Extraction System Based on Adaptive Segmentation of HSV Information Space.

  Muhammad Riaz, Youngeun An, Jong-An Park
  Proceedings of the UKSim'11, International Conference on Computer Modelling and Simulation, Cambridge University, Emmanuel College, Cambridge, UK, 25-27 March 2009; 01/2009
• Article: Sensitivity improvement of the receiver module in the passive tag-based RFID reader.

  Jonghun Chun, Seunghak Rhee, Gwangwon Kang, Yongseon Moon, Jong-An Park
  Int. J. Communication Systems. 01/2009; 22:1341-1354.
• Conference Proceeding: Image Feature Vector Construction Using Interest Point Based Regions.

  Nishat Ahmad, Gwangwon Kang, Hyunsook Chung, Suchoi Ik, Jong-An Park
  IEEE International Symposium on Parallel and Distributed Processing with Applications, ISPA 2008, Sydney, NSW, Australia, December 10-12, 2008; 01/2008
• Conference Proceeding: Shape from Focus through Laplacian Using 3D Window.

  Youngeun An, Gwangwon Kang, Il-Jung Kim, Hyunsook Chung, Jong-An Park
  The Second International Conference on Future Generation Communication and Networking, FGCN 2008, Volume 2, Workshops, Hainan Island, China, December 13-15, 2008; 01/2008
• Conference Proceeding: Mobile Mapping Service Using Scalable Vector Graphics on the Human Geographic.

  Jin-Suk Kang, Yonghee You, Mee Young Sung, Taikyeong T. Jeong, Jong-An Park
  7th IEEE/ACIS International Conference on Computer and Information Science, IEEE/ACIS ICIS 2008, 14-16 May 2008, Portland, Oregon, USA; 01/2008
• Conference Proceeding: Generalized Laplacian as Focus Measure.

  Muhammad Riaz, Seungjin Park, Muhammad Bilal Ahmad, Waqas Rasheed, Jong-An Park
  Computational Science - ICCS 2008, 8th International Conference, Kraków, Poland, June 23-25, 2008, Proceedings, Part I; 01/2008
• Conference Proceeding: Sensitivity Improvement of the Receiver Module in the Passive Tag Based RFID Reader.

  Seung-Hak Rhee, Jong-An Park, Jong-Hun Chun
  Ubiquitous Intelligence and Computing, 4th International Conference, UIC 2007, Hong Kong, China, July 11-13, 2007, Proceedings; 01/2007
• Conference Proceeding: Defining a Set of Features Using Histogram Analysis for Content Based Image Retrieval.

  Jong-An Park, Nishat Ahmad, Gwangwon Kang, Jun H. Jo, PanKoo Kim, Seungjin Park
  Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007, Proceedings; 01/2007
• Conference Proceeding: Web Based Image Retrieval System Using HSI Color Indexes.

  Jong-An Park, Sung Kwan Kang, Ilhoe Jeong, Waqas Rasheed, Seungjin Park, Youngeun An
  Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, Third International Conference on Intelligent Computing, ICIC 2007, Qingdao, China, August 21-24, 2007. Proceedings; 01/2007
• Conference Proceeding: Quantization of Colors Using Median of Pixels for Color Correlogram.

  Jong-An Park, Youngeun An, PanKoo Kim
  Technologies for E-Learning and Digital Entertainment, Second International Conference, Edutainment 2007, Hong Kong, China, June 11-13, 2007, Proceedings; 01/2007
• Conference Proceeding: Comparison Between Motion Verbs Using Similarity Measure for the Semantic Representation of Moving Object.

  Miyoung Cho, Dan Song, Chang Choi, Junho Choi, Jong-An Park, PanKoo Kim
  Image and Video Retrieval, 5th International Conference, CIVR 2006, Tempe, AZ, USA, July 13-15, 2006, Proceedings; 01/2006
• Conference Proceeding: Knowledge Representation for Video Assisted by Domain-Specific Ontology.

  Dan Song, Miyoung Cho, Chang Choi, Juhyun Shin, Jong-An Park, PanKoo Kim
  Advances in Knowledge Acquisition and Management, Pacific Rim Knowledge Acquisition Workshop, PKAW 2006, Guilin, China, August 7-8, 2006, Revised Selected Papers; 01/2006
• Conference Proceeding: A Novel Algorithm for Identification of Body Parts in Medical Images.

  Jong-An Park, Gwangwon Kang, Sung Bum Pan, PanKoo Kim
  Fuzzy Systems and Knowledge Discovery, Third International Conference, FSKD 2006, Xi'an, China, September 24-28, 2006, Proceedings; 01/2006
• Chapter: Automatic Liver Segmentation of Contrast Enhanced CT Images Based on Histogram Processing

  Kyung-Sik Seo, Hyung-Bum Kim, Taesu Park, Pan-Koo Kim, Jong-An Park
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  ABSTRACT: Pixel values of contrast enhanced computed tomography (CE-CT) images are randomly changed. Also, the middle liver part has a problem to segregate the liver structure because of similar gray-level values of neighboring organs in the abdomen. In this paper, an automatic liver segmentation method using histogram processing is proposed for overcoming randomness of CE-CT images and removing other abdominal organs. Forty CE-CT slices of ten patients were selected to evaluate the proposed method. As the evaluation measure, the normalized average area and area error rate were used. From the results of experiments, liver segmentation using histogram process has similar performance as the manual method by medical doctor.
  07/2005: pages 421-421;