Object detection with multiple motion models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5996 LNCS, Issue PART 3, 2010, Pages 183-192

  Wang, Zhijie ^a   Zhang, Hong ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTING OBJECTS; DISCRETE VARIABLES; JOINT DETECTION; MOTION MODELS; MULTIPLE MOTIONS; OBJECT DETECTION;

COMPUTER VISION; MOTION ESTIMATION; TRACKING (POSITION);

ALGORITHMS;

EID: 78650494543     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-12297-2_18     Document Type: Conference Paper

References (11)

1. Yaser Sheikh, M.S.: Bayesian modeling of dynamic scenes for object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 27, 1778-1792 (2005)
2. Li, L., Huang, W., Gu, I.Y.H., Tian, Q.: Statistical modeling of complex backgrounds for foreground object detection. IEEE Transactions on Image Processing 13, 1459-1472 (2004)
3. Viola, P., Jones, M.: Robust real-time object detection. International Journal on Computer Vision 57, 137-154 (2004)
4. Tsai, C.C., Cheng, W.C., Taur, J.S., Tao, C.W.: Face detection using eigenface and neural network. In: International Conference on Systems, Man and Cybernetics, vol. 5, pp. 4343-4347. IEEE, Los Alamitos (2006)
5. Ristic, B., Arulampalam, S., Gordon, N.J.: Beyond the kalman filter: Particle filters for tracking applications (2004)
6. Rutten, M.G., Ristic, B., Gordon, N.J.: A comparison of particle filters for recursive trackbeforedetect. In: International Conference on Information Fusion, vol. 1, pp. 169-175 (2005)
7. Isard, M., MacCormick, J.: Bramble: A bayesian multiple-blob tracker. In: Proc. International Conference on Computer Vision, vol. 2, pp. 34-41. IEEE, Los Alamitos (2001)
8. Jacek Czyz, B.R., Macq, B.: A color-based particle filter for joint detection and tracking of multiple objects. In: Proc. of International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 217-220. IEEE, Los Alamitos (2005)
9. McGinnity, S., Irwin, G.W.: Multiple model bootstrap .lter for maneuvering target tracking. IEEE Transactions on Aerospace and Electronic Systems 36, 1006-1012 (2000)
10. Isard, M., Blake, A.: A mixed-state condensation tracker with automatic modelswitching. In: Proc. International Conference on Computer Vision, pp. 107-112 (1998)
11. Wang, Z., Zhang, H.: Large lump detection using a particle .lter of hybrid state variable. In: International Conference on Advances in Pattern Recognition, pp. 14-17 (2009)