-
1
-
-
0028378716
-
Performance of optical flow techniques
-
BARRON J, FLEET D, BEAUCHEMIN S. Performance of optical flow techniques[J]. International Journal of Computer Vision, 1994, 12(1): 42-47.
-
(1994)
International Journal of Computer Vision
, vol.12
, Issue.1
, pp. 42-47
-
-
Barron, J.1
Fleet, D.2
Beauchemin, S.3
-
2
-
-
0029357424
-
Real-Time motion segmentation and shape tracking
-
SMITH S M, BRADY J M. Real-Time motion segmentation and shape tracking[J]. IEEE Trans. on PAMI, 1995, 17(8): 814-820.
-
(1995)
IEEE Trans. on PAMI
, vol.17
, Issue.8
, pp. 814-820
-
-
Smith, S.M.1
Brady, J.M.2
-
3
-
-
77954247986
-
Improved background subtraction based on novel thresholding
-
JIA L H, ZHOU J H. Improved background subtraction based on novel thresholding[J]. Acta Automatica Sinica, 2009, 35(4): 467-473.
-
(2009)
Acta Automatica Sinica
, vol.35
, Issue.4
, pp. 467-473
-
-
Jia, L.H.1
Zhou, J.H.2
-
4
-
-
65449170831
-
Adaptive kernel density estimation for motion detection
-
XU D B, HUANG L, LIU CH P. Adaptive kernel density estimation for motion detection[J]. Acta Automatica Sinica, 2009, 35(4): 379-385.
-
(2009)
Acta Automatica Sinica
, vol.35
, Issue.4
, pp. 379-385
-
-
Xu, D.B.1
Huang, L.2
Liu, C.P.3
-
5
-
-
27244433269
-
A background reconstruction algorithm based on pixel intensity classification
-
HOU ZH Q, HAN CH ZH. A background reconstruction algorithm based on pixel intensity classification[J]. Journal of Software, 2005, 16(9): 1568-1576.
-
(2005)
Journal of Software
, vol.16
, Issue.9
, pp. 1568-1576
-
-
Hou, Z.Q.1
Han, C.Z.2
-
6
-
-
0348231687
-
Tracking multiple vehicle using foreground, background and motion models
-
MAGEE D. Tracking multiple vehicle using foreground, background and motion models[J]. Image and Vision Computing, 2004, 22(2): 143-155.
-
(2004)
Image and Vision Computing
, vol.22
, Issue.2
, pp. 143-155
-
-
Magee, D.1
-
8
-
-
0030104218
-
Vehicle segmentation and classification using deformable templates
-
JOLLY M P D, LAKSHMANAN S, JAIN A K. Vehicle segmentation and classification using deformable templates[J]. IEEE Trans. on PAMI, 1996, 18(3): 293-308.
-
(1996)
IEEE Trans. on PAMI
, vol.18
, Issue.3
, pp. 293-308
-
-
Jolly, M.P.D.1
Lakshmanan, S.2
Jain, A.K.3
-
9
-
-
50049084440
-
Detection method for small moving target in sequence image
-
WEI H Q, FENG J L, WANG J S, et al. Detection method for small moving target in sequence image[J]. Chinese Journal of Scientific Instrument, 2008, 29(8): 1735-1738.
-
(2008)
Chinese Journal of Scientific Instrument
, vol.29
, Issue.8
, pp. 1735-1738
-
-
Wei, H.Q.1
Feng, J.L.2
Wang, J.S.3
-
10
-
-
33748920186
-
New moving target detection method based on background differencing and coterminous frames differencing
-
LI G, QIU SH B, LIN L, et al. New moving target detection method based on background differencing and coterminous frames differencing[J]. Chinese Journal of Scientific Instrument, 2006, 27(8): 961-964.
-
(2006)
Chinese Journal of Scientific Instrument
, vol.27
, Issue.8
, pp. 961-964
-
-
Li, G.1
Qiu, S.B.2
Lin, L.3
-
11
-
-
77953265285
-
Adaptive detection method for mobile object
-
LU H, FEI SH M, ZHENG J Y. Adaptive detection method for mobile object[J]. Journal of Electronic Measurement and Instrument, 2008, 22(4): 7-11.
-
(2008)
Journal of Electronic Measurement and Instrument
, vol.22
, Issue.4
, pp. 7-11
-
-
Lu, H.1
Fei, S.M.2
Zheng, J.Y.3
-
12
-
-
9644269644
-
Contour-based object tracking with occlusion handling in video acquired using mobile cameras
-
YILMAZ A, LI X, SHAH M. Contour-based object tracking with occlusion handling in video acquired using mobile cameras[J]. IEEE Trans. on PAMI, 2004, 26(11): 1531-1536.
-
(2004)
IEEE Trans. on PAMI
, vol.26
, Issue.11
, pp. 1531-1536
-
-
Yilmaz, A.1
Li, X.2
Shah, M.3
-
13
-
-
33645828211
-
Dynamic active contours for visual tracking
-
NIETHAMMER M, TANNENBAUM A, ANGENENT S. Dynamic active contours for visual tracking[J]. IEEE Trans. on Automatic Control, 2006, 51(4): 562-579.
-
(2006)
IEEE Trans. on Automatic Control
, vol.51
, Issue.4
, pp. 562-579
-
-
Niethammer, M.1
Tannenbaum, A.2
Angenent, S.3
-
14
-
-
42649136920
-
A real-time algorithm for the approximation of level-set-based curve evolution
-
SHI YG, KARL W C. A real-time algorithm for the approximation of level-set-based curve evolution[J]. IEEE Trans. on Image Processing, 2008, 17(5): 645-656.
-
(2008)
IEEE Trans. on Image Processing
, vol.17
, Issue.5
, pp. 645-656
-
-
Shi, Y.G.1
Karl, W.C.2
-
15
-
-
33749840073
-
Video moving object auto-extraction in real scene
-
LIU G X, SHAO M L, LIU X H, et al. Video moving object auto-extraction in real scene[J]. Acta Optica Sinica, 2006, 26(8): 1150-1155.
-
(2006)
Acta Optica Sinica
, vol.26
, Issue.8
, pp. 1150-1155
-
-
Liu, G.X.1
Shao, M.L.2
Liu, X.H.3
-
16
-
-
69049091871
-
Segmentation of multiple moving targets based on background reconstruction and level set
-
WEI Z F, BI D Y, ZHANG M, et al. Segmentation of multiple moving targets based on background reconstruction and level set[J]. Opto-Electronic Engineering, 2009, 36(7): 28-35.
-
(2009)
Opto-Electronic Engineering
, vol.36
, Issue.7
, pp. 28-35
-
-
Wei, Z.F.1
Bi, D.Y.2
Zhang, M.3
-
17
-
-
3042640313
-
Saptio-temporal video segmentation based on the generation of motion window
-
ZHU H, LI Z M, CAI Y. Saptio-temporal video segmentation based on the generation of motion window[J]. Acta Electronica Sinica, 2004, 32(3): 480-484.
-
(2004)
Acta Electronica Sinica
, vol.32
, Issue.3
, pp. 480-484
-
-
Zhu, H.1
Li, Z.M.2
Cai, Y.3
-
18
-
-
57949115769
-
Adaptive distance preserving level set evolution for image segmentation
-
HE CH J, LI M, ZHAN Y. Adaptive distance preserving level set evolution for image segmentation[J]. Journal of Software, 2008, 19(12): 3161-3169.
-
(2008)
Journal of Software
, vol.19
, Issue.12
, pp. 3161-3169
-
-
He, C.J.1
Li, M.2
Zhan, Y.3
-
19
-
-
65749106961
-
Automatic image segmentation method using sequential level set
-
WANG B, GAO X B. Automatic image segmentation method using sequential level set[J]. Journal of Software, 2009, 20(5): 1185-1193.
-
(2009)
Journal of Software
, vol.20
, Issue.5
, pp. 1185-1193
-
-
Wang, B.1
Gao, X.B.2
|