2 research outputs found
Statistical Approach to Boar Semen Head Classification Based on Intracellular Intensity Distribution
Interest Points Tracking in Video Sequence of Non-stationary Camera
Diplomová práce se zabĂ˝vá problematikou trasovánĂ bodĹŻ zĂskanĂ˝ch z videosekvence kamery, která je drĹľena rukou. Práce je zaměřena na pĹ™Ăpad pohybujĂcĂ se kamery a statickĂ©ho pozadĂ a jevĹŻ, kterĂ© jsou s tĂmto pĹ™Ăpadem spojeny a mohou nastat. Je zde zkoumán pohyb kamery, kterĂ˝ je dán jeho smÄ›rem a rychlostĂ. CĂlem tĂ©to práce je zvolenĂ a následná implementace třà principiálnÄ› odlišnĂ˝ch metod, vhodnĂ˝ch k trasovánĂ vĂ˝znamnĂ˝ch bodĹŻ pro pĹ™Ăpad pohybujĂcĂ se kamery a jejich následnĂ© srovnánĂ podle danĂ˝ch kritĂ©riĂ. Na základÄ› toho srovnánĂ bude za pĹ™edem definovanĂ˝ch podmĂnek zvolen algoritmus, kterĂ˝ si nejlĂ©pe dokázal poradit s trasovánĂm tÄ›chto bodĹŻ.The thesis deals with the issue of tracking feature points earned from videosequences of hand helded camera. The work is focused on the case of moving camera and static background, and events that are associated with this case and can occur. There is studied the movement of the camera, which is given its direction and speed. The aim of this work is the election and the subsequent implementation of three fundamentally different methods suitable for tracking feature points in case of moving camera and their comparison according to set criteria. On the basis of comparison will be under pre-defined conditions chosen algorithm that is best able to deal with tracing these points.