Fluxo Óptico
fluxo óptico is a concept in visão computacional and processamento de imagens that refers to the pattern of motion of objects as perceived through a sequence of images. It is derived from the movement of objects between two or more frames captured by a camera. By analyzing these changes, algorithms can estimate the velocity of objects, their direction, and even depth perception.
O fluxo óptico é baseado no princípio de que o movimento aparente dos objetos é resultado tanto do movimento do observador (câmera) quanto do movimento dos objetos dentro da cena. O movimento é normalmente representado como um campo vetorial, onde cada vetor corresponde ao movimento de um pixel de um objeto de um quadro para o próximo.
Existem duas abordagens principais para calcular o fluxo óptico: fluxo óptico denso and fluxo óptico esparso. Dense optical flow calculates motion vectors for every pixel in the image, providing a comprehensive view of all object movements. In contrast, sparse optical flow focuses on specific feature points, tracking their motion across frames. Both methods have their unique applications and advantages.
Optical flow is widely used in various applications including video surveillance, autonomous driving, motion analysis, and realidade aumentada. It helps systems understand dynamic environments by interpreting how objects move relative to each other and the observer. Furthermore, it plays a crucial role in the development of algorithms for object tracking, scene reconstruction, and motion-based segmentation.