Movement Direction Estimation on Video using Optical Flow Analysis on Multiple Frames
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 6
Abstract
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 certain size. Moreover, to determine the movement direction we also analyzed multiple frames at once. Based on the experiment results, showing that the value of accuracy, precision, and recall of the movement detection is good, amounting to 93% for accuracy, 73.07% for precision and 84.25% for recall. Furthermore, the results of testing using the best parameter shows the value of accuracy of 98.1%, 35.6% precision, 41.2% recall, and direction detection error rate (DDER) 25,28%. The results of this study are expected to provide benefits in video analysis studies such as the riots detection and abnormal movement in public places.
Authors and Affiliations
Achmad Solichin, Agus Harjoko, Agfianto Eko Putra
Keywords
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- EP ID EP321800
- DOI 10.14569/IJACSA.2018.090625
- Views 126
- Downloads 0
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