دوره 6، شماره 1 - ( 6-1388 )
جلد 6 شماره 1 صفحات 90-79 |
برگشت به فهرست نسخه ها
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Pedestrian Detection in Infrared Image Sequences Using SVM and Histogram Classifiers. JSDP 2009; 6 (1) :79-90
URL: http://jsdp.rcisp.ac.ir/article-1-746-fa.html
URL: http://jsdp.rcisp.ac.ir/article-1-746-fa.html
محسنی محسن، سریانی محسن. تشخیص عابر پیاده با استفاده از کلاس بندهای SVM و هیستوگرام در توالی تصاویر مادون قرمز. پردازش علائم و داده‌ها. 1388; 6 (1) :79-90
دانشگاه آزاد ملارد
چکیده: (3867 مشاهده)
نوع مطالعه: پژوهشي |
موضوع مقاله:
مقالات پردازش گفتار
دریافت: 1388/6/31 | پذیرش: 1396/11/30 | انتشار: 1396/11/30 | انتشار الکترونیک: 1396/11/30
دریافت: 1388/6/31 | پذیرش: 1396/11/30 | انتشار: 1396/11/30 | انتشار الکترونیک: 1396/11/30
فهرست منابع
1. [1] http://nncf.unl.edu/eldercare/info/seniordriving/nightdrive.html. Technical Report 6, Nebraska Highway Safety Program and the Lincoln-Lancaster County Health Department, July 2001.
2. [2] M Bertozzi, A Broggi, MD Rose, A Lasagni, “Infrared Stereo Vision-based Pedestrian Detection”, Procs. IEEE Intelligent Vehicles Symposium, 2005
3. [3] L. Zhao and C. Thorpe, “Stereo and neural network-based pedestrian detection,” IEEE Trans. on Intelligent Transportation Systems, vol. 1, no. 3, pp. 148–154, Sept. 2000.
4. [4] C. Mertz, S. McNeil, and C. Thorpe, “Side collision warning systems for transit buses,” in IEEE Intelligent Vehicle Symp., Oct. 2000.
5. [5] M. Bertozzi et al., “Pedestrian detection in infrared images,” in Proc. IEEE Intelligent Vehicles Symp., Columbus, OH, pp. 662–667, June 2003.
6. [6] A. Broggi et al., “Shape-based pedestrian detection,” in Proc. IEEE Intelligent Vehicles Symp., Dearbon, MI, pp. 215–220, 2000.
7. [7] Takayuki Tsuji, Hiroshi Hattori, Masahito Watanabe, and Nobuharu Nagaoka. "Development of night-vision system", IEEE Transactions on ITS, Vol. 3 No.3, pages 203-209, Sept. 2002.
8. [8] H. Elzein et al., “A motion and shape-based pedestrian detection algorithm,” in Proc. IEEE Intelligent Vehicles Symp., Columbus, OH, pp. 500–504, June 2003.
9. [9] م. محسنی، م. سریانی. تشخیص عابر پیاده در توالی تصاویر مادون قرمز با استفاده از SVM . کنفرانس ماشین بینایی و پردازش تصویر ایران، 1387.
10. A. Mohan and T. Poggio, “Example-based object detection in images by components,” IEEE Trans.Pattern Anal.Machine Intell., vol. 23, pp. 349–361, Apr. 2001
11. [11] H. Nanda and L. Davis, “Probabilistic template based pedestrian detection in infrared videos,” presented at the IEEE IntelligentVehicles Symp., Versailles, France, June 2002.
12. [11][12] B. E. Boser, I. M. Guyon and V. N.Vapnik, “A training algorithm for optimal margin classifiers”, Proceedings of the fifth annual workshop on Computational learning theory, 1992.
13. [12][13] J. Davis and V. Sharma, "Background-Subtraction using Contour-based Fusion of Thermal and Visible Imagery," Computer Vision and Image Understanding, Vol 106, No. 2-3, 2007, pp. 162-182.
14. OSU Thermal Pedestrian Database, http://www.cse.ohio-state.edu/otcbvs-bench/
15. [14][15] Support Vector Machine toolbox for Matlab Version 2.51, Anton Schwaighofer. January 2002.
ارسال پیام به نویسنده مسئول
| بازنشر اطلاعات | |
 |
این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است. |
