Movement Direction Estimation on Video using Optical Flow Analysis on Multiple Frames

Achmad Solichin, Agus Harjoko, and Agfianto Eko Putra This study proposed a model for determining the movement direction of the object based on the optical flow features. To increase the speed of computational time, optical flow features derived into a Histograms of Oriented Optical Flow (HOOF). We extracted them locally on the grid with a […]

Continue reading about Movement Direction Estimation on Video using Optical Flow Analysis on Multiple Frames

Detection and recognition of object movements in a video is one of the research topics that are popular today. For the purposes of the analysis of the object movements in the video, the direction of movement is the important feature. In this study, we proposed a new method for determining the direction of movement using […]

Continue reading about Grid-based Histogram of Oriented Optical Flow for analyzing movements on video data