The use of image processing schemes as part of the security systems have been increasing, to detect, classify as well as to tract object and human motion with a high precision. To this end several approaches have been proposed during the last decades using image processing techniques, because computer vision let us to manipulated digital image sequences to extract useful information contained in a video stream. In this paper we present a motion detection algorithm using the movement vectors estimation which are subsequently filtered to obtain better information about real motion into a given scenes. Experimental results show that the accuracy of proposed system. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Hernandez, J., Morita, H., Nakano-Miytake, M., & Perez-Meana, H. (2009). Movement detection and tracking using video frames. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5856 LNCS, pp. 1054–1061). https://doi.org/10.1007/978-3-642-10268-4_123
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