Neslužbene stranice predmeta Analiza dinamičkih scena

O predmetu:

Predmet razmatra područja računalnog vida koja proučavaju kretanje objekata ili kamere. Službene stranice su ovdje.

Predavači:

Predavanja

• Oduzimanje pozadine pdf
• Optički tok pdf
• Stohastičko praćenje objekata pdf
• Izlučivanje, praćenje, i podudaranje slikovnih značajki pdf
• Razumijevanje scena procjenom parametara pdf

LIteratura

Duboki modeli za optički tok

• Fischer et al. FlowNet: Learning Optical Flow with Convolutional Networks. ICCV 2015 (arxiv)
• Ilg et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks. CVPR 2017. (arxiv)
• Teed et al. RAFT: Recurrent All-Pairs Field Transforms for Optical Flow. ECCV 2020. (arxiv)

Modeliranje pozadine

• C. Stauffer; W. Grimson. Adaptive background mixture models for real-time tracking. CVPR 1999. pp. 246-252. pdf.
• Massimo Piccardi. Background subtraction techniques: a review. CSMC 2004. pp. 3099–3104. pdf.
• Sebastian Brutzer, Benjamin Hoferlin and Gunther Heidemann. Evaluation of background subtraction techniques for video surveillance CVPR 2011. pp. 1937–1944. pdf.

Izlučivanje značajki

• C. Harris and M. Stephens. A combined corner and edge detector. Alvey Vision Conference. pp. 147-151. 1988. pdf
• D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision. 60(2):91-110. 2004. pdf

Praćenje značajki i optički tok

• B.D. Lucas and T. Kanade. An Iterative Image Registration Technique with an Application to Stereo Vision. International Joint Conference on Artificial Intelligence. pp. 674-679. Vancouver, Canada, 1981. CiteSeer
• J. Shi and C. Tomasi. Good Features to Track. IEEE Conference on Computer Vision and Pattern Recognition. 1994. pdf
• B.K.P. Horn and B.G. Schunck. Determining optical flow. Artificial Intelligence. vol 17. pp 185-203. 1981. CiteSeer
• Deqing Sun, Stefan Roth, and Michael J. Black. A quantitative analysis of current practices in optical flow estimation and the principles behind them. IJCV 106(2) 2014. pp. 115–137. pdf.

Praćenje objekata

• Dorin Comaniciu, Visvanathan Ramesh and Peter Meer. Kernel-based object tracking. PAMI 25 2003. pp. 564–577. pdf.
• Gary R. Bradski. Real time face and object tracking as a component of a perceptual user interface. WACV 1998. pp. 214–219. pdf.
• Zdenek Kalal, Krystian Mikolajczyk and Jiri Matas. Tracking-learning-detection. PAMI 34(7) 2012. pp. 1409–1422. pdf.

Estimacija i filtriranje

• S. Choi, T. Kim, W. Yu. Performance Evaluation of RANSAC Family. British Machine Vision Conference. 2009. pdf
• M. Isard and A. Blake. CONDENSATION -- conditional density propagation for visual tracking. International Journal of Computer Vision. 29(1):5-28. 1998. home
• Greg Welch and Gary Bishop. An Introduction to the Kalman Filter. TR 95-041 2006. pdf.

Kalibracija kamere, geometrija više pogleda

• Z. Zhang. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence. 22(11):1330-1334. 2000. home
• H. C. Longuet-Higgins. A computer algorithm for reconstructing a scene from two projections. Nature 293(5828):133-135. 1981. pdf
• David Nistér. An Efficient Solution to the Five-Point Relative Pose Problem. IEEE Trans. Pattern Anal. Mach. Intell. 26(6):756-777 (2004) pdf
• Richard I. Hartley. In Defense of the Eight-Point Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 19(6): 580-593 (1997) pdf

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