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We propose in this paper to face the challenge of designing a high-performance dynamic visual servo control scheme. Two versatile control laws are developed in this paper: a position-based dynamic visual servoing and an image-based dynamic visual servoing. Both control laws are designed to compute the control torques exclusively from a sequential acquisition of regions of interest containing the visual features to achieve an accurate trajectory tracking. The presented experiments on vision-based dynamic control of a high-speed parallel robot show that the proposed control schemes can perform better than joint-based computed torque control.<\/jats:p>","DOI":"10.1177\/0278364911436082","type":"journal-article","created":{"date-parts":[[2012,2,29]],"date-time":"2012-02-29T23:51:43Z","timestamp":1330559503000},"page":"520-537","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":23,"title":["Dynamic visual servoing from sequential regions of interest acquisition"],"prefix":"10.1177","volume":"31","author":[{"given":"Redwan","family":"Dahmouche","sequence":"first","affiliation":[{"name":"LASMEA - CNRS - Universit\u00e9 Blaise Pascal, Aubi\u00e8re, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolas","family":"Andreff","sequence":"additional","affiliation":[{"name":"FEMTO-ST - CNRS, Universit\u00e9 de Franche Comt\u00e9, Besan\u00e7on, 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