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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電機工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30556
完整後設資料紀錄
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dc.contributor.advisor王勝德
dc.contributor.authorZheng-Mo Zhuangen
dc.contributor.author莊政謀zh_TW
dc.date.accessioned2021-06-13T02:08:10Z-
dc.date.available2010-07-16
dc.date.copyright2007-07-16
dc.date.issued2007
dc.date.submitted2007-06-28
dc.identifier.citation[1] G. L. Foresti, “Object recognition and tracking for remote video surveillance,”
Circuits and Systems for Video Technology,IEEE Transactions on, vol. 9, pp.
1045-1062, Oct. 1999.
[2] C. Dumontier, F. Luthon, J. P. Charras, “Real time implementation of an
MRF-based motion detection algorithm on a DSP board,” Digital Signal
Processing Workshop Proceedings,IEEE, 1-4, pp.183 –186, Sept. 1996.
[3] G. W. Donohoe, D. R. Hush, and N Ahmed, “Change detection for target detection
and classification in video sequences,” Proceedings of the ICASSP, No. 1998/1-5,
pp.1084-1087, 1988.
[4] G. L. Foresti, C. S. Regazzoni, “A change detection method for multiple object
localization in real scenes,” Industrial Electronics, Control and Instrumentation,
IECON '94, 20th International Conference on, vol. 2, pp. 984-987, Sept. 1994.
[5] E. Durucan and T. Ebrahimi, “Robust and illumination invariant change detection
based on linear dependence for surveillance application,” in Proc. 10th Eur. Signal
Processing Conf., vol. 5, Tampere, Finland, pp.1141-1144. Sept. 2000.
[6] Shao-Yi Chien, Shyh-Yih Ma, and Liang-Gee Chen, “Efficient moving object
segmentation algorithm using background registration technique,” IEEE Trans.
Circuit and Systems for Video Technology, vol. 12, no. 7, July 2002.
[7] Suh Ho Lee, Seon Wook Kim, and Suki Kim, “Implementation of a low power
motion detection camera processor using a CMOS image sensor,” in Proc.
Circuit and Systems, ISCAS ’04. International Conf., vol. 2, May, 2004.
[8] Sung-Min Sohn, Soo-Hwan Kim, Suh-Ho Lee, Kwang-Jin Lee and Suki Kim, 'A
CMOS Image Sensor Architecture with Low Power Motion Detection for
Portable Security Camera Applications,' IEEE Trans. Consumer Electronics, Vol.
49, Nov, 2003
[9] J.C. Choi, S.W. Lee, and S.D. Kim, “Spatio-temporal video segmentation using a
joint similarity measure,” IEEE Trans. Circuit and Systems for Video
Technology,vol. 7, Apr 1997.
[10] T. Aach, A. Kaup, and R. Mester, “Statistical model-based change detection in
moving video,” Signal Processing, vol. 31, Mar. 1993.
[11] J. Stauder, R. Mech, and J. Ostermann, “Detection of moving cast shadows for
object segmentation,” IEEE Trans. Multimedia, vol. 1, Mar. 1999.
[12] K. Zhang and J. Kittler, “Using background memory for efficient video coding,”
in Proc. IEEE Int. Conf. Image Processing, 1998.
[13] Rafael C. Gonzalez, and Richard E. Woods, “Digital Image Processing,” 2nd ed.
Prentice Hall. 2002.
[14] David A. Patterson ,and John L. Hennessy, “Computer Organization & Design” 2nd ed., Morgan Kaufmann.
[15] “Nios Core Implementation Details”, Nios II Processor Reference Handbook, Altera Corporation, May ,2007.
[16] 呂孟庭 “Motion object tracking”, 多媒體應用組, 全國大學院校嵌入式軟體設計競賽, 2006.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/30556-
dc.description.abstract在電腦視覺中,移動偵測(motion detection)為一大探討重點,它可運用在很多方面。由於移動偵測系統的計算量大,對於講求即時(real-time)的系統中,若以軟體型式加入移動偵測演算法後,往往偵測到的影像無法即時傳送到監視器,造成偵測與觀察不同步的情形,因此在本文中提出了以硬體來實作移動物體偵測以加速並達到即時系統之需求,本文將分別對移動物體偵測在以純軟體實作、以純硬體實作來做討論,並分析個別的效能。本文也對於移動偵測以軟硬體共同設計下之效能做分析,進而探討即時移動偵測系統以何種方式實作為最佳。zh_TW
dc.description.abstractAmong computer visions, motion detection which can be applied to many areas would be quite critical for research. Due to the large amount of computations of a motion detection system, it’s such often a circumstance that if the software form is utilized to motion detection operations, the images detected couldn’t meet the real-time requirements of a surveillance system , leading to asynchronous condition between detection and observation. Consequently, in this research, we take advantage of specific hardware to approach motion detection in order to accelerate and to meet the need of real-time surveillance systems. In this research, we’re going to discuss motion detection in fully software and in fully hardware respectively, and then analyze their efficacy. We also evaluate the frame rate of motion detection in hardware/software co-design in the thesis.en
dc.description.provenanceMade available in DSpace on 2021-06-13T02:08:10Z (GMT). No. of bitstreams: 1
ntu-96-R94921085-1.pdf: 2386261 bytes, checksum: b7173156920bdeb2c60e8df5d548895d (MD5)
Previous issue date: 2007
en
dc.description.tableofcontents目錄
摘要 i
Abstract ii
致謝 iii
目錄 iv
圖目錄 vi
表目錄 viii
第一章 序論 1
1.1 概述 1
1.2 研究動機 1
1.3 論文架構 2
第二章 文獻探討 3
第三章 以純軟體實作之移動物體偵測系統 5
3.1 系統架構 5
3.2 設計實作內容 6
3.3 演算法 9
第四章 以純硬體實作之移動物體偵測系統 12
4.1 系統架構 12
4.1.1 CMOS感應資料抓取(CMOS Sensor Data Capture) 13
4.1.2 I2C結構(I2C Sensor Configuration) 15
4.1.3 資料格式轉換(Bayer Color Pattern Data to 30-bit RGB) 17
4.1.4 同步動態記憶體控制器(Multi-Port SDRAM Controller) 17
4.1.5視頻圖像陳列控制器(VGA Controller) 19
4.2 實作內容 25
4.2.1 演算法 25
4.2.2膨脹(Dilation)與侵蝕(Erosion) 31
4.2.3先侵蝕後膨脹 33
第五章 以軟硬體共同設計之移動偵測系統估計 34
5.1 NIOS介紹 34
5.2 分析估算效能 37
第六章 實驗結果與數據探討 40
6.1 實驗說明 40
6.2 移動物體偵測結果 42
6.3 數據分析與討論 47
第七章 結論 50
參考文獻: 51
dc.language.isozh-TW
dc.subject移動偵測zh_TW
dc.subject即時zh_TW
dc.subject軟硬體共同設計zh_TW
dc.subjectreal-timeen
dc.subjectmotion detectionen
dc.subjecthardware/software codesignen
dc.subjectFPGAen
dc.title基於即時安全防盜系統實作硬體移動物體偵測zh_TW
dc.titleHardware motion detection approaches for real-time surveillance systems.en
dc.typeThesis
dc.date.schoolyear95-2
dc.description.degree碩士
dc.contributor.oralexamcommittee洪士灝,楊佳玲,黃鐘揚,薛智文
dc.subject.keyword移動偵測,軟硬體共同設計,即時,zh_TW
dc.subject.keywordmotion detection,hardware/software codesign,FPGA,real-time,en
dc.relation.page52
dc.rights.note有償授權
dc.date.accepted2007-07-02
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電機工程學研究所zh_TW
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