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http://dx.doi.org/10.3745/KIPSTB.2004.11B.3.267

The Interesting Moving Objects Tracking Algorithm using Color Informations on Multi-Video Camera  

Shin, Chang-Hoon (청주대학교 대학원 전자공학과)
Lee, Joo-Shin (청주대학교 전자공학과)
Publication Information
The KIPS Transactions:PartB / v.11B, no.3, 2004 , pp. 267-274 More about this Journal
Abstract
In this paper, the interesting moving objects tracking algorithm using color information on Multi-Video camera is proposed Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area, after converting RGB color coordination of image which is input from multi-video camera into HSI color coordination. Hue information of the detected moving area are normalized by 24 steps from 0$^{\circ}$ to 360$^{\circ}$ It is used for the feature parameters of the moving objects that three normalization levels with the highest distribution and distance among three normalization levels after obtaining a hue distribution chart of the normalized moving objects. Moving objects identity among four cameras is distinguished with distribution of three normalization levels and distance among three normalization levels, and then the moving objects are tracked and surveilled. To examine propriety of the proposed method, four cameras are set up indoor difference places, humans are targeted for moving objects. As surveillance results of the interesting human, hue distribution chart variation of the detected Interesting human at each camera in under 10%, and it is confirmed that the interesting human is tracked and surveilled by using feature parameters at four cameras, automatically.
Keywords
Tracking; Color; Hue; Moving Object; Surveillance;
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1 Tsai-Hong Hong, Tommy Chang, Chritopher Rasmusen and Michael shneier, 'Feature Detection and Tracking for Mobile Robots Using a Combination of Ladar and Color images,' Proceedings of the 2002 IEEE International Conference onRobotics & Automation Washington DC, pp. 4330-4345, May, 2002   DOI
2 서동하, 임재혁, 원치선, 'HSV 칼라를 이용한 블록단위 영상 분할', 2000년 제13회 신호처리학술대회 논문집, 제13권 제1호, pp.651-654   과학기술학회마을
3 Ng Kim Piau and surendra Ranganath 'Tracking People,' Pattern Recognition, 2002. Proceedings. 16th International Conference on Publication Date, Vol.2, pp.370-373, 2002
4 George V. Paul, Glenn J. Beach and Charles J. Cohen, 'A Realtime Object Tracking System using a Color Camera,' 30th Applied Imagery Pattern Recognition Workshop (AIPR '01) Washington, D. C. pp.137-142, October, 200l   DOI
5 Greg T. Kogut and Mohan M. Trivedi, 'Real-time Wide Area Tracking: Hardware and Software Infrastructure,' The IEEE 5th International conference on Intelligent Transportation Systems, Singapore, September, 2002   DOI
6 D. Beymer and K. Konolige, 'Real-time Tracking of Multiple People using Stereo,' In IEEE Frame Rate Workshop, 1999
7 S. J. McKenna, et al., 'Tracking Interacting People,' Proceeding of Fourth IEEE Conference on Automatic Face and Gesture Recognition, pp.348-353, 2000   DOI
8 A Bobick and J. Davis 'Real-time recognition of Activity using Temporal Templates,' In IEEE Workshop on application of Computer Vision, pp.1233-1251, 1996   DOI
9 Gi-jeong lang and In-So Kweon 'Robust Object Tracking Using an Adaptive Color Model,' Proceedings of the 2001 IEEE International conference on Robotics & Automation Seoul, Korea, pp.1677-1682, May, 2001   DOI
10 J. Yang and A. Waibel, 'A Real-Time Face Tracker,' Proceeding of WACV, pp.142-147, 1996   DOI
11 Rafael C. Gonzalez and Richard E. Woods, 'Digital Image Processing,' Addison Wesley Longman, 1992
12 Quan Chun, 'A Study on Real-time Tracking of Moving Object Based on Fast Matching Algorithm,' Ph. D. Paper, 2003
13 M. J. Jones and J. M. Rehg, 'Statistical Color Models with Aplocation to Skin Detection,' Proc. CVPR, pp.274-280, 1999
14 Ismail Haritaoglu and Myron Flickner, 'Detection and Tracking of Shopping Groups in Stores,' in Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Kauai, Hawaii, pp. -431-I-438, 2001   DOI
15 Zoran Durie Fayin Li, Yan sun and Harry Wechsler, 'Using Normal flow for Detection and Tracking of Limbs in Color images'
16 김준식, 박래홍, 이병욱, '가산투영을 이용한 2단계 고속 블록 정합 알고리듬', 전자공학회논문지B, 제30-B편 제1호, pp.45-54, 1993
17 Collins, Lipton, Kanande, Fugiyoshi, duggins, Tsin, Tolliver, Enomoto and Hasegawa, 'A System for Video surveillance and Monitoring', VSAM Fianl Report Technical Report CMURI-TR-00-12, Robotics Institute, CMU, May, 2000
18 J. Krumm, et al., 'Multi-camera Multi-person Tracking for EasyLing,' Third IEEE International Workshop on Visual Surveillance 2000, 2000   DOI
19 Chris Stauffer and W. Eric L. Grimson, 'Learning Patterns of Activity Using Real-Time Tracking,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, No.8, August, 2000   DOI   ScienceOn