Recent Advances in Distributed Tactical Surveillance
作者： Marios Savvides , Christopher P. Diehl , John M. Dolan , Pradeep Khosla , Kiran S. Bhat
DOI:
关键词:
摘要:
参考文章(11)
Ashitey Trebi-Ollennu, John M. Dolan, Pradeep Khosla, Mahesh Saptharishi, Alvaro Soto, Cyber-ATVs: Dynamic and Distributed Reconnaissance and Surveillance Using All-Terrain UGVs ,(1999)
A.J. Lipton, H. Fujiyoshi, R.S. Patil, Moving target classification and tracking from real-time video workshop on applications of computer vision. pp. 8- 14 ,(1998) , 10.1109/ACV.1998.732851
K.S. Bhat, M. Saptharishi, P.K. Khosla, Motion detection and segmentation using image mosaics international conference on multimedia and expo. ,vol. 3, pp. 1577- 1580 ,(2000) , 10.1109/ICME.2000.871070
I. Haritaoglu, D. Harwood, L.S. Davis, W/sup 4/: Who? When? Where? What? A real time system for detecting and tracking people ieee international conference on automatic face and gesture recognition. pp. 222- 227 ,(1998) , 10.1109/AFGR.1998.670952
Richard Szeliski, Heung-Yeung Shum, Creating full view panoramic image mosaics and environment maps international conference on computer graphics and interactive techniques. pp. 251- 258 ,(1997) , 10.1145/258734.258861
W.E.L. Grimson, C. Stauffer, R. Romano, L. Lee, Using adaptive tracking to classify and monitor activities in a site computer vision and pattern recognition. pp. 22- 29 ,(1998) , 10.1109/CVPR.1998.698583
F. Dufaux, F. Moscheni, Background mosaicking for low bit rate video coding international conference on image processing. ,vol. 1, pp. 673- 676 ,(1996) , 10.1109/ICIP.1996.559588
John M. Dolan, Ashitey Trebi-Ollennu, Alvaro Soto, Pradeep K. Khosla, Distributed tactical surveillance with ATVs Unmanned Ground Vehicle Technology. ,vol. 3693, pp. 192- 199 ,(1999) , 10.1117/12.354448
M. Saptharishi, J.B. Hampshire, P.K. Khosla, Agent-based moving object correspondence using differential discriminative diagnosis computer vision and pattern recognition. ,vol. 2, pp. 652- 658 ,(2000) , 10.1109/CVPR.2000.854936
Jianbo Shi, Tomasi, Good features to track computer vision and pattern recognition. pp. 593- 600 ,(1994) , 10.1109/CVPR.1994.323794