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Šifra:
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11361
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ECTS:
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6
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Lecturers in charge:
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Prof. dr. sc.
Zoran Kalafatić
Prof. dr. sc.
Siniša Šegvić
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English level:
1,1,1
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All teaching activities in the course will be held on English. This level includes courses with multiple groups (i.e., all teaching will be held strictly in Croatian for Croatian groups, and strictly in English for English groups).
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Description:
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Fundamental concepts of computer vision. Extraction of dynamic information from image sequences. Image differencing. Background subtraction. Optical flow estimation methods. Motion-based image segmentation. Object detection and tracking. Using active contour models (snakes) for object tracking. Model-based object tracking. Probabilistic approaches to object tracking. Differential extraction and tracking of rectangular features (Harris, KLT). Matching invariant features (DOG, SIFT). Geometrical aspects of computer vision: image formation, camera calibration, geometry of one, two and multiple views. Robust parameter estimation. Applications: video surveilance, traffic surveilance, object motion analysis, video compression, navigation, traffic sign detection, recognition and tracking.
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Literature:
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- David A. Forsyth, Jean Ponce Computer Vision: A Modern Approach, Prentice Hall, 2002.
- Emanuele Trucco, Alessandro Verri, Introductory Techniques for 3D Computer Vision, Prentice Hall, 1998.
- Richard Hartley, Andrew Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2004.
- Yi Ma, Stefano Soatto, Jana Kosecka, S. Shankar Sastry, An Invitation to 3-D Vision, Springer, 2003.
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