In this paper we present a method for motion detection and characterization using Cellular Automata. The original approach employs results of the application of the Sobel operator to individual frames, that are translated to CA configurations that are processed with the aim of detecting and characterizing moving entities to support collision avoidance from the perspective of the viewer. The paper formally describes the adopted approach as well as its experimentation videos representing plausible situations.
Carrieri, A., Crociani, L., Vizzari, G., Bandini, S. (2018). Motion Detection and Characterization in Videos with Cellular Automata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.102-111). Springer Verlag [10.1007/978-3-319-99813-8_9].
Motion Detection and Characterization in Videos with Cellular Automata
Carrieri, A;Crociani, L
;Vizzari, G
;Bandini, S
2018
Abstract
In this paper we present a method for motion detection and characterization using Cellular Automata. The original approach employs results of the application of the Sobel operator to individual frames, that are translated to CA configurations that are processed with the aim of detecting and characterizing moving entities to support collision avoidance from the perspective of the viewer. The paper formally describes the adopted approach as well as its experimentation videos representing plausible situations.
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