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Natural Computing

A cellular automata based approach to track salient objects in videos

  • 04-10-2019
Published in:
Authors
Luca Crociani
Giuseppe Vizzari
Antonio Carrieri
Stefania Bandini
Published in
Natural Computing | Issue 4/2019

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Abstract

In this paper we present an algorithm to track the motion of a salient object using Cellular Automata (CA). The overall work, taking inspiration from recent research on insect sensory motor system, investigates the application of non conventional computer vision approaches to evaluate their effectiveness in fulfilling this task. The proposed system employs the Sobel operator to individual frames, performing further elaborations through a CA, with the aim of detecting and characterizing moving entities within the field of view 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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Title
A cellular automata based approach to track salient objects in videos
Authors
Luca Crociani
Giuseppe Vizzari
Antonio Carrieri
Stefania Bandini
Publication date
04-10-2019
Publisher
Springer Netherlands
Published in
Natural Computing / Issue 4/2019
Print ISSN: 1567-7818
Electronic ISSN: 1572-9796
DOI
https://doi.org/10.1007/s11047-019-09766-2
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