Browse > Article
http://dx.doi.org/10.6109/jkiice.2017.21.4.811

Behavior Pattern Analysis and Design of Retrieval Descriptor based on Temporal Histogram of Moving Object Coordinates  

Lee, Jae-kwang (Department of Information and Communications Eng., Daejeon University)
Lee, Kyu-won (Department of Information and Communications Eng., Daejeon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.4, 2017 , pp. 811-819 More about this Journal
Abstract
A behavior pattern analysis algorithm based on descriptors consists of information of a moving object and temporal histogram is proposed. Background learning is performed first for detecting, tracking and analyzing moving objects. Each object is identified using an association of the center of gravity of objects and tracked individually. A temporal histogram represents a motion pattern using positions of the center of gravity and time stamp of objects. The characteristic and behavior of objects are figured out by comparing each coordinates of a position history in the histogram. Behavior information which is comprised with numbers of a start and end frame, and coordinates of positions of objects is stored and managed in the linked list. Descriptors are made with the stored information and the video retrieval algorithm is designed. We confirmed the higher retrieval accuracy compare with conventional methods.
Keywords
Behavior pattern; Descriptor; Moving object; Vidio retrieval;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Y. J. Song, "Trend of video contents retrieval technology," Journal of Korea Contents Association, vol. 7, no. 1, pp. 46-52, July 2009.
2 N. Dimitrova and F. Golshani, "Motion recovery for video content classification," ACM Transaction of Information Systems, vol. 13, no. 4, pp. 408-439, April 1995.   DOI
3 D. S. Messing, P. van Beek and J.H Errico, "The MPEG-7 colour structure descriptor: image description using colour and local spatial information," in Proceedings of International Conference on Image Processing, vol. 1, pp. 670-673, 2001.
4 J. D. Jeon, M. J. Lee, J. H. Kim, D. G. Kim and B. D. Kang, "Object detection system using Eigen-background and Clustering," Journal of Korea Multimedia Society, vol. 13, no. 1, pp. 45-57, Jan. 2010.
5 J. H. Han, Y.J.Kim, S.W.Yoo, S.H.Lee and J.I.Park, "Effective extraction of moving objects in a dynamic environment," in Proceedings of Korea HCI Association Conference, pp. 631-636, 2009.
6 K. H. Kang, Y. S. Park, Y. I. Yun, J.S.Choi and D.W.Kim "Image search using spatial information and color change rate," Journal of Korea Multimedia Society, vol. 11, no.1, pp. 23-33, Nov. 2008.
7 Byung-man Jung and Kyu-won Lee. "A Descriptor Design for the Video Retrieval Combining the Global Feature of an Image and the Local of a Moving Object," Journal of Korea Institute of Information and Communication Engineering, vol. 18, no. 1, pp. 142-148, Jan. 2014.   DOI
8 R. Y. Si, H. R. Kim, T. H. Kim and Y. H. Ju, "Multiple moving object detection and tracking algorithm," in Proceedings of Summer Conference of the Korean Institute of Electrical Engineers, pp. 18-20, 2012.
9 H. B. Kang and C.S.Won, "Image search using combination of MPEG-7 descriptors," Journal of Broadcasting Engineering, vo. 8, no. 1, pp. 91-100, Aug. 2003.
10 H.Y.Lim and D.S.Kang, "A Study on Improved Object Tracking Algorithm Using Color Probability Distribution for Object Tracking System," Journal of Korea Information Science Society, vol. 8, no. 2, pp. 153-158, Aug. 2010.