Waterfront surveillance and trackability

Machine Vision and Applications

Volumn 19, Issue 5-6, 2008, Pages 291-300

  Li, Yi ^a,b   Hua, Wei ^a   Guo, Chengen ^a,c   Gu, Haisong ^a   Kang, Jinman ^a   Chen, Xiangrong ^a,c  

^a Vidient Systems Inc   (United States)

^b MICROSOFT   (United States)

^c Optovue Inc   (United States)

Author keywords

Object recognition; Surveillance system; Target detection; Video surveillance; Vision system; Visual tracking

Indexed keywords

OBJECT RECOGNITION; SURVEILLANCE SYSTEM; TARGET DETECTION; VIDEO SURVEILLANCE; VISION SYSTEM; VISUAL TRACKING;

SOLVENT EXTRACTION;

EID: 54849163700     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-008-0157-8     Document Type: Article

References (21)

1. S. Baker I. Matthews 2004 Lucas-kanade 20 years on: A unifying framework IJCV. 56 3 221 255
2. C.J.C. Burges 1998 A tutorial on support vector machines for pattern recognition Data Min. Knowl. Discov. 2 2 121 167
3. G. Doretto A. Chiuso Y.N. Wu S. Soatto 2003 Dynamic textures IJCV. 51 2 91 109
4. Eng, H.-L., Wang, J., Kam, A.H., Yau, W.-Y.: Novel region-based modeling for human detection within highly dynamic aquatic environment. In: CVPR, vol. 2, pp. 390-397 (2004)
5. Gracia-Roche, J.J., Orrite-Uruñuela, C., Martínez del Rincón, J., Herrero-Jaraba, J.E.: Multimodal appearance distribution tracking. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 70-77 (2005)
6. T. Kadir M. Brady 2001 Scale, saliency and image description IJCV. 45 2 83 105
7. T. Kadir A. Zisserman M. Brady 2004 An affine invariant salient region detector ECCV. 1 404 416
8. T. Lindeberg 1998 Feature detection with automatic scale selection IJCV. 30 2 79 116
9. D.G. Lowe 2004 Distinctive image features from scale-invariant keypoints IJCV. 60 2 91 110
10. Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision (darpa). In: Proceedings of the 1981 DARPA Image Understanding Workshop, pp. 121-130, April 1981
11. Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide baseline stereo from maximally stable extremal regions. BMVC (2002)
12. K. Mikolajczyk C. Schmid 2004 Scale and affine invariant interest point detectors IJCV. 60 1 63 86
13. Mittal, A., Paragios, N.: Motion-based background subtraction using adaptive kernel density estimation. In: CVPR, vol. 2, pp. 302-309 (2004)
14. Monnet, A., Mittal, A., Paragios, N., Ramesh, V.: Background modeling and subtraction of dynamic scenes. In: ICCV, pp. 1305-1312 (2003)
15. Pless, R., Larson, J., Siebers, S., Westover, B.: Evaluation local models of dynamic backgrounds. In: CVPR (2003)
16. Sheikh, Y., Shah, M. Bayesian object detection in dynamic scenes. In: CVPR, vol. 1, pp. 74-79 (2005)
17. Souvenir, R., Wright, J., Pless, R.: Spatio temporal detection and isolation: Results on the pets2005 datasets. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 62-69 (2005)
18. Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: CVPR, pp. 246-252 (1999)
19. Wren, C.R., Porikli, F.: Waviz: Spectral similarity for object detection. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 55-61 (2005)
20. Zhong, J., Sclaroff, S.: Segmenting foreground objects from a dynamic textured background via a robust kalman filter. In: ICCV (2003)
21. Zhu, Q., Avidan, S., Cheng, K.-T.: Learning a sparse, corner-based representation for time-varying background modeling. In: ICCV (2005)