Combining color, depth, and motion for video segmentation

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

Volumn 5815 LNCS, Issue , 2009, Pages 104-113

  Leens, Jérôme ^b   Piérard, Sébastien ^a   Barnich, Olivier ^a   Van Droogenbroeck, Marc ^a   Wagner, Jean Marc ^b  

^a UNIVERSITY OF LIÈGE   (Belgium)

^b Electronics Service   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND SUBTRACTION ALGORITHMS; COLOR INFORMATION; DEPTH CAMERA; IMMERSIVE APPLICATION; INNOVATIVE METHOD; NOISY SIGNALS; RGB CAMERAS; VIDEO SCENE; VIDEO SEGMENTATION;

COMPUTER VISION; IMAGE SEGMENTATION;

CAMERAS;

EID: 71549162557     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04667-4_11     Document Type: Conference Paper

References (15)

1. Silvestre, D.: Video surveillance using a time-of-flight camera. Master's thesis, Informatics and Mathematical Modelling, Technical University of Denmark, DTU (2007)
2. Lindner, M., Kolb, A.: Lateral and depth calibration of PMD-distance sensors. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Nefian, A., Meenakshisundaram, G., Pascucci, V., Zara, J., Molineros, J., Theisel, H.,Malzbender, T. (eds.) ISVC 2006. LNCS, vol. 4292, pp. 524-533. Springer, Heidelberg (2006)
3. Lindner, M., Kolb, A.: Calibration of the intensity-related distance error of the PMD TOF-camera. In: SPIE: Intelligent Robots and Computer Vision XXV, vol. 6764, pp. 6764-35 (2007)
4. Blais, F.: Review of 20 years of range sensor development. Journal of Electronic Imaging 13(1), 231-243 (2004)
5. Oprisescu, S., Falie, D., Ciuc, M., Buzuloiu, V.: Measurements with ToF cameras and their necessary corrections. In: International Symposium on Signals, Circuits and Systems (ISSCS), pp. 1-4 (July 2007)
6. Falie, D., Buzuloiu, V.: Noise characteristics of 3D time-of-flight cameras. In: International Symposium on Signals, Circuits and Systems (ISSCS), July 2007 vol. 1, pp. 1-4 (2007)
7. Radmer, J., Fusté, P., Schmidt, H., Krüger, J.: Incident light related distance error study and calibration of the PMD-range imaging camera. In: Society, I.C. (ed.) Conference on Computer Vision and Pattern Recognition, Piscataway, NJ, pp. 23-28 (2008)
8. Piccardi, M.: Background subtraction techniques: a review. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 3099- 3104 (2004)
9. Radke, R., Andra, S., Al-Kofahi, O., Roysam, B.: Image change detection algorithms: A systematic survey. IEEE transactions on Image Processing 14(3), 294- 307 (2005)
10. Barnich, O., Van Droogenbroeck, M.: ViBe: a powerful random technique to estimate the background in video sequences. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), April 2009, pp. 945-948 (2009)
11. Elgammal, A., Harwood, D., Davis, L.: Non-parametric model for background subtraction. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1843, pp. 751-767. Springer, Heidelberg (2000)
12. Wang, H., Suter, D.: A consensus-based method for tracking: Modelling background scenario and foreground appearance. Pattern Recognition 40(3), 1091-1105 (2007)
13. Fuchs, S., May, S.: Calibration and registration for precise surface reconstruction with ToF cameras. In: DAGM Dyn3D Workshop (September 2007)
14. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)
15. Zhang, Z.: A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(11), 1330-1334 (2000)