| Date: |
2014 |
| Abstract: |
Motion perception is one of the most important attributes of the human brain. Visual motion perception consists in inferring speed and direction of elements in a scene based on visual inputs. Analogously, computer vision is assisted by motion cues in the scene. Motion detection in computer vision is useful in solving problems such as segmentation, depth from motion, structure from motion, compression, navigation and many others. These problems are common in several applications, for instance, video surveillance, robot navigation and advanced driver assistance systems (ADAS). One of the most widely used techniques for motion detection is the optical flow estimation. This research attempts to make optical flow suitable for the requirements and conditions of driving scenarios. |
| Note: |
Advisor: Angel D. Sappa. Date and location of PhD thesis defense: 23 October 2013, Universitat Autònoma de Barcelona. |
| Rights: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.  |
| Language: |
Anglès |
| Document: |
Altres ; recerca ; Versió publicada |
| Subject: |
Computer Vision ;
Active Vision ;
Robotics and Visual Navigation |
| Published in: |
ELCVIA. Electronic letters on computer vision and image analysis, Vol. 13, Núm. 2 (2014) , p. 61-62, ISSN 1577-5097 |
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