Spatiotemporal saliency in dynamic scenes

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 32, Issue 1, 2010, Pages 171-177

  Mahadevan, Vijay ^a   Vasconcelos, Nuno ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Background subtraction; Discriminant center surround architecture; Dynamic backgrounds; Dynamic texture; Motion saliency; Spatiotemporal saliency; Video modeling

Indexed keywords

BACKGROUND SUBTRACTION; DYNAMIC BACKGROUND; DYNAMIC TEXTURES; MOTION SALIENCY; SPATIOTEMPORAL SALIENCY; VIDEO MODELING;

TEXTURES;

ALGORITHMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; IMAGE PROCESSING; METHODOLOGY; NORMAL DISTRIBUTION; PHYSIOLOGY; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; THEORETICAL MODEL; VIDEORECORDING; VISION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE PROCESSING, COMPUTER-ASSISTED; MARKOV CHAINS; MODELS, THEORETICAL; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; ROC CURVE; VIDEO RECORDING; VISION, OCULAR; VISUAL PERCEPTION;

EID: 74949088082     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2009.112     Document Type: Article

References (32)

1. http://staff.science.uva.nl/zivkovic/download.html, 2009.
2. http://www.svcl.ucsd.edu/projects/background-subtraction, 2009.
3. M.M. Bence, P. O ̈ lveczky, and S.A. Baccus, "Segregation of Object and Background Motion in the Retina," Nature, vol. 423, pp. 401-408, 2003. (Pubitemid 36626986)
4. R.T. Born, J. Groh, R. Zhao, and S.J. Lukasewycz, "Segregation of Object and Background Motion in Visual Area MT: Effects of Microstimulation on Eye Movements," Neuron, vol. 26, pp. 725-734, 2000.
5. T. Boult, "Coastal Surveillance Datasets," Vision and Security Lab, Univ. of Colorado at Colorado Springs, www.vast.uccs.edu/tboult/PETS2005, 2005.
6. A. Bugeau and P. Perez, "Detection and Segmentation of Moving Objects in Highly Dynamic Scenes," Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2007.
7. A.B. Chan and N. Vasconcelos, "Efficient Computation of the kl Divergence between Dynamic Textures," Technical Report SVCL-TR-2004-02, Dept. of Electrical and Computer Eng., Univ. of California, San Diego, 2004.
8. A.B. Chan and N. Vasconcelos, "Probabilistic Kernels for the Classification of Auto-Regressive Visual Processes," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 846-851, 2005. (Pubitemid 43897281)
9. T. Cover and J. Thomas, Elements of Information Theory. John Wiley & Sons, 1991.
10. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati, "Detecting Moving Objects, Ghosts, and Shadows in Video Streams," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 25, no. 10, pp. 1337-1342, Oct. 2003.
11. G. Doretto, A. Chiuso, Y.N. Wu, and S. Soatto, "Dynamic Textures," Int'l J. Computer Vision, vol. 51, no. 2, pp. 91-109, 2003.
12. A. Elgammal, R. Duraiswami, D. Harwood, and L.S. Davis, "Background and Foreground Modeling Using Nonparametric Kernel Density for Visual Surveillance," Proc. IEEE, vol. 90, no. 7, pp. 1151-1163, July 2002.
13. D. Gao and N. Vasconcelos, "Decision-Theoretic Saliency: Computational Principle, Biological Plausibility, and Implications for Neurophysiology and Psychophysics," Neural Computation, vol. 21, pp. 239-271, 2007.
14. E. Hayman and J. Eklundh, "Statistical Background Subtraction for a Mobile Observer," Proc. Int'l Conf. Computer Vision, 2003.
15. D.H. Hubel and T.N. Wiesel, "Receptive Fields and Functional Architecture in Two Nonstriate Visual Areas (18 and 19) of the Cat," J. Neurophysiology, vol. 28, pp. 229-289, 1965.
16. M. Irani, B. Rousso, and S. Peleg, "Computing Occluding and Transparent Motions," Int'l J. Computer Vision, vol. 12, pp. 5-16, 1994.
17. L. Itti, "The iLab Neuromorphic Vision C++ Toolkit: Free Tools for the Next Generation of Vision Algorithms," The Neuromorphic Eng., vol. 1, no. 1, p. 10, Mar. 2004.
18. L. Itti and P. Baldi, "A Principled Approach to Detecting Surprising Events in Video," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 631-637, 2005. (Pubitemid 43897253)
19. L. Itti and C. Koch, "A Saliency-Based Search Mechanism for Overt and Covert Shifts of Visual Attention," Vision Research, vol. 40, pp. 1489-1506, 2000. (Pubitemid 30216462)
20. S. Kullback, Information Theory and Statistics. Dover Publications, 1968.
21. A. Monnet, A. Mittal, N. Paragios, and V. Ramesh, "Background Modeling and Subtraction of Dynamic Scenes," Proc. IEEE Int'l Conf. Computer Vision, pp. 1305-1312, 2003.
22. H.C. Nothdurft, "The Role of Features in Preattentive Vision: Comparison of Orientation, Motion and Color Cues," Vision Research, vol. 33, no. 14, pp. 1937-1958, 1993.
23. Y. Ren, C. Chua, and Y. Ho, "Motion Detection with Nonstationary Background," Machine Vision and Applications, vol. 13, nos. 5-6, pp. 332-343, 2003.
24. Y. Sheikh and M. Shah, "Bayesian Modeling of Dynamic Scenes for Object Detection," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27, no. 11, pp. 1778-1792, Nov. 2005. (Pubitemid 41685113)
25. C. Stauffer and W. Grimson, "Adaptive Background Mixture Models for Real-Time Tracking," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 2246-2252, 1999.
26. N. Vasconcelos, "Feature Selection by Maximum Marginal Diversity: Optimality and Implications for Visual Recognition," Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, pp. 762-769, 2003.
27. R. Visser, N. Sebe, and E. Bakker, "Object Recognition for Video Retrieval," Proc. Int'l Conf. Image and Video Retrieval, pp. 250-259, 2002.
28. L. Wixson, "Detecting Salient Motion by Accumulating Directionally-Consistent Flow," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 774-780, Aug. 2000.
29. C.R. Wren, A. Azarbayejani, T. Darrell, and A. Pentland, "Pfinder: Real-Time Tracking of the Human Body," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 780-785, July 1997. (Pubitemid 127762271)
30. A. Yilmaz, O. Javed, and M. Shah, "Object Tracking: A Survey," ACM Computing Surveys, vol. 38, no. 4, p. 13, 2006.
31. J. Zhong and S. Sclaroff, "Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter," Proc. IEEE Int'l Conf. Computer Vision, vol. 1, pp. 44-50, 2003.
32. Z. Zivkovic, "Improved Adaptive Gaussian Mixture Model for Background Subtraction," Proc. Int'l Conf. Pattern Recognition, 2004.